🎙️ Listen as a podcast

⚡ TL;DR

1. Anthropic Facepalm: Anthropic leaked enough Claude Code internals to expose its agent architecture, future roadmap, and Mythos model hints, which is one way to ship a keynote without booking a venue.

2. Google Goes Live: Gemini 3.1 Flash Live pushed real-time speech-to-speech agents into APIs and Search Live, which is a much fancier way of saying the bots now talk back faster.

3. Agent Tag-Team: OpenAI shipped Codex plugins and a Claude Code bridge, so coding agents can now outsource work to each other like tiny overconfident middle managers.

4. Slack Gets Hands: Slack turned Slackbot into a desktop operator with meeting notes, reusable skills, app access, and CRM memory, because chat windows were apparently too passive.

5. Model Jury: Microsoft turned Copilot Researcher into a mini panel discussion where ChatGPT and Claude can write, critique, and compare answers inside one workflow.

💰 Market Moves

OpenAI Closes 122B Round at 852B Valuation

OpenAI closed a 122 billion round at an 852 billion valuation, with Amazon, NVIDIA, and SoftBank backing a compute-heavy plan to fuse ChatGPT, Codex, and agents into one system.

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Starcloud Raises 170M for Orbital Data Centers

Starcloud raised 170 million and touted H100-equipped satellites, turning “data centers in space” from sci-fi pitch deck into a live bet on AI infrastructure scarcity.

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Mistral Borrows 830M for a Paris AI Data Center

Mistral secured 830 million in debt to build an Nvidia-powered data center near Paris, a blunt reminder that AI sovereignty now comes with financing terms and utility bills.

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Anthropic Is Reportedly Weighing an October IPO

Anthropic is reportedly considering an October IPO, which would turn frontier-model hype into a public-markets stress test much sooner than private investors expected.

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Rebellions Raises 400M at a 2.3B Valuation

South Korea’s Rebellions raised 400 million at roughly a 2.3 billion valuation to push its inference chips into U.S. labs and hyperscale procurement conversations.

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CoreWeave Secures an 8.5B GPU Loan Backed by Meta Demand

CoreWeave raised 8.5 billion for cloud capacity expansion, showing how AI infrastructure finance now looks less like venture capital and more like wartime logistics.

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Runway Launches a 10M Builders Program

Runway launched a 10 million Builders Program to seed early-stage AI startups, widening its strategy from model vendor to ecosystem kingmaker.

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🛠️ Tech & Product

Anthropic Leak Exposes Claude Code Internals and Mythos

Anthropic’s leaked Claude Code package exposed a memory-heavy agent architecture, unreleased features, and references to Mythos, a stronger model reportedly flagged for higher cybersecurity risk.

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Google Rolls Out Gemini 3.1 Flash Live for Real-Time Voice Agents

Google launched Gemini 3.1 Flash Live across APIs and Search Live, giving developers low-latency speech-to-speech agents with multimodal input and native audio output.

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Microsoft Adds Critique and Council to Copilot Researcher

Microsoft added Critique and Council to Copilot Researcher, letting ChatGPT and Claude generate, review, and reconcile parallel research reports inside one workflow.

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Slack Turns Slackbot into a Desktop Agent with Meeting Notes and CRM

Slack shipped more than 30 AI features, including desktop task execution, meeting transcription, reusable skills, MCP app access, and a channel-aware CRM for small teams.

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OpenAI Ships Codex Plugins and a Claude Code Bridge

OpenAI launched Codex plugins for Slack, Figma, Gmail, and other tools, plus a Claude Code plugin that lets one coding agent call in another.

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Mistral Releases Voxtral TTS

Mistral released Voxtral TTS, a 4B open-weight text-to-speech model with multilingual voice cloning and roughly 70ms latency for enterprise voice agents.

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Google Launches Veo 3.1 Lite and Cuts Fast Pricing

Google launched Veo 3.1 Lite at roughly half the price of Veo 3.1 Fast and lowered Fast pricing, pushing video generation further downmarket.

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Meta Ships Prescription-Ready Ray-Ban AI Glasses

Meta introduced prescription-ready Ray-Ban Meta frames and added new multimodal features, tightening its grip on the only AI glasses category with real distribution.

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Alibaba Launches Qwen3.5-Omni

Alibaba launched Qwen3.5-Omni, a multimodal model for text, image, audio, and video tasks that also supports web search, function calling, and voice-driven app building.

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Google Translate Live Now Works with Any Headphones on iPhone

Google Translate’s Live Translate now works with any headphones on iPhone, delivering real-time bilingual audio across more than 70 languages without requiring custom hardware.

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Cohere Open-Sources Transcribe

Cohere released Transcribe under Apache 2.0 and claimed the top English spot on Hugging Face’s Open ASR leaderboard, crowding an already noisy speech stack.

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Google Expands Lyria 3 Pro to Full Three-Minute Songs

Google expanded Lyria 3 Pro to generate structured three-minute tracks with section-level control, giving Gemini and Vertex users a more usable music model.

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ARC-AGI-3 Shows Frontier Models Still Cannot Learn Like Humans

ARC Prize launched ARC-AGI-3, where frontier models scored below 1% on novel game-like tasks that humans solved easily after brief experimentation.

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Shopify Launches Free AI Creative App Tinker

Shopify launched Tinker, a free mobile app for product photos, videos, 3D assets, and social creatives, exporting its commerce AI stack beyond merchants.

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Cursor Updates Composer via Real-Time RL Every Five Hours

Cursor said it now retrains Composer on live inference data and ships improved checkpoints every five hours, turning continual learning into a production feature.

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Meta Updates SAM 3.1 for Faster Multi-Object Tracking

Meta updated SAM 3.1 with object multiplexing for faster video segmentation, making its open computer-vision work more useful for real-time tracking pipelines.

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Suno Adds Voice Cloning and Custom Models in v5.5

Suno launched v5.5 with voice cloning, personalized taste learning, and custom models, pairing the release with fresh subscriber and ARR flexes.

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Apple Plans Siri Extensions for Gemini and Claude

Apple is preparing Siri extensions in iOS 27 so unanswered requests can route to outside assistants like Gemini and Claude instead of one locked-in partner.

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🗣️ Industry Chatter

Mercor Says LiteLLM Supply Chain Attack Hit Its Systems

Mercor said a LiteLLM supply chain compromise hit its systems, a useful reminder that agent stacks inherit every shaky dependency they casually npm install.

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Claude’s Paid Consumer Base Is Surging

Anthropic’s Claude is seeing a sharp rise in paid consumer sign-ups and returning users, suggesting recent product wins are translating into real wallet-share.

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Judge Temporarily Blocks the Pentagon’s Ban on Anthropic

A federal judge temporarily blocked the Pentagon’s ban on Anthropic, turning last week’s designation fight into a live First Amendment and procurement showdown.

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Oracle Is Reportedly Cutting Staff to Fund AI Infrastructure

Oracle is reportedly laying off thousands of employees to reallocate cash toward AI data centers, underscoring how aggressively incumbents are repricing themselves around the compute race.

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🎙️ Listen as a podcast

⚡ TL;DR

1. Claude Unchained: Anthropic shipped Auto Mode, Channels, and a global interview of 81,000 humans — Claude can now run your Mac, take orders via Telegram, and ask how you feel about all that.

2. OpenAI Kills Sora, Teases ‘Spud’: OpenAI is shutting down its viral video app, finishing initial development on a new model codenamed Spud, and merging ChatGPT, Codex, and Atlas into one desktop superapp.

3. Musk’s Texas Terafab Gets Real: New details say Tesla, SpaceX, and xAI will jointly run the chip fab near Austin, turning last week’s giant headline into a concrete AI-and-robotics infrastructure play.

4. Luma Labs Unveil Pixel Intelligence: Luma’s new Uni-1 model pushes the pitch that image generation should reason before it renders, not just diffuse prettier slop faster.

5. Figma Opens the Canvas to Agents: Figma’s MCP tooling now lets AI agents write native frames, components, variables, and auto layout directly into design files — which is a much bigger shift than another copilot sidebar.

💰 Market Moves

Meta Hires Dreamer Team for Superintelligence Labs

Meta recruited the founding team of AI agent startup Dreamer into Meta Superintelligence Labs, accelerating its pivot from VR to an AI-first company under Andrew Bosworth.

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Musk Details Terafab: SpaceX, Tesla, and xAI Will Co-Own the Chip Fab

After last week’s $25B announcement, new details reveal Terafab will be jointly run by Tesla, SpaceX, and xAI to produce chips for robotics, AI, and space-based data centers near Austin.

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OpenAI Acquires Python Toolmaker Astral

OpenAI is acquiring Astral, the team behind popular Python developer tools Ruff, uv, and ty, integrating them into Codex for full-lifecycle software automation.

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OpenAI Courts Private Equity with 17.5% Guaranteed Returns

OpenAI is pitching joint ventures to private-equity firms with a guaranteed 17.5% minimum return and early access to new models, seeking roughly $4B in enterprise capital.

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Lovable Hits $400M ARR, Hunts for Acquisitions

Vibe-coding platform Lovable reached $400 million ARR and is actively seeking acquisitions to expand beyond app building, having already acquired cloud provider Molnett.

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Bezos Raising $100B Fund to Automate Manufacturing with AI

Jeff Bezos’ Project Prometheus is raising a $100 billion fund to acquire traditional manufacturing companies and transform them with AI automation, focusing on industrial and engineering firms.

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🛠️ Tech & Product

OpenAI Merging ChatGPT, Codex, and Atlas into a Desktop Superapp

OpenAI plans to consolidate its fragmented product lineup into a single desktop application combining ChatGPT, Codex, and the Atlas browser with agentic capabilities.

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Anthropic Launches Claude Auto Mode for Autonomous Desktop Control

Claude’s new Auto Mode auto-approves safe actions while blocking risky ones with previews, enabling autonomous computer use including app navigation, form filling, and file management on macOS.

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Cursor Composer 2 Revealed to Be Built on Moonshot AI’s Kimi 2.5

Cursor confirmed its new Composer 2 coding model was trained via continued pretraining and RL on top of Moonshot AI’s open-source Kimi 2.5, cutting coding costs roughly 50%.

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OpenAI Kills Sora Social App, Keeps Model Behind Paywall

OpenAI is shutting down the Sora TikTok-style video app to reallocate resources, though the underlying Sora 2 generation model remains available through ChatGPT Premium.

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MiniMax M2.7 Matches Claude Opus 4.6 at a Fraction of the Cost

MiniMax launched M2.7, a model that demonstrates comparable quality to Claude Opus 4.6 on coding benchmarks while writing its own training code for autonomous self-improvement cycles.

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Alibaba Completes Qwen3.5 Family: Eight Open-Weight Vision-Language Models

Alibaba released the full Qwen3.5 family including a 397B-parameter flagship, all with open weights under Apache 2.0, supporting tool use, web search, and 200+ languages.

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NVIDIA Puts AI Computers Directly on Satellites

NVIDIA launched a space computing platform enabling AI inference directly on satellites in orbit, allowing real-time data analysis without needing to downlink to ground stations.

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Google Stitch Relaunches as AI-Native Design Canvas with Voice Mode

After last week’s SDK preview, Google relaunched Stitch as a full AI-native infinite canvas with voice input, interactive prototyping, and automatic DESIGN.md export from natural language.

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Luma Launches Uni-1 and Bets on “Intelligence in Pixels”

Luma unveiled Uni-1, a multimodal reasoning model for image generation and editing that ranks first in human preference Elo for several categories, while its broader push frames creative AI as agents that can plan before they render.

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Figma Lets AI Agents Write Directly to the Canvas

Figma’s MCP server now lets agents create and modify native frames, components, variables, and auto layout inside design files, turning design systems into something coding agents can edit instead of just read.

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Wispr Flow Brings Voice-to-Text AI to 270+ Fortune 500 Companies

Wispr Flow, a system-wide voice-to-text tool using AI reasoning with screen context and conversation history, is now deployed in over 270 Fortune 500 companies and planning voice-to-action.

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Microsoft Overhauls Copilot: Free Agent, Cowork Mode, New Leadership

Microsoft launched Copilot Tasks as a free autonomous agent that browses the web and reads inboxes, added Cowork-style features, and reshuffled leadership with Andreou replacing Suleyman on product.

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Google AI Studio Becomes a Full-Stack App Builder

Google upgraded AI Studio with the Antigravity coding agent, generating complete apps with Firebase databases, authentication, multiplayer, and payment processing from natural language prompts.

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Adobe Firefly Custom Models Enter Public Beta

Adobe launched a public beta letting creators train Firefly on their own assets to generate consistent branded images, with extensions to video generation planned next.

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Claude Code Gets Telegram and Discord Channels

Anthropic released Channels for Claude Code, enabling developers to control persistent coding sessions via Telegram and Discord with bidirectional replies and background execution.

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Tencent Integrates OpenClaw AI Agent into WeChat for 1B+ Users

Tencent embedded an OpenClaw-based AI agent into WeChat, giving over one billion monthly active users access to agentic AI capabilities for productivity tasks.

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Amazon Developing AI Smartphone Codenamed “Transformer”

Amazon is building an AI-centric smartphone with deep Alexa integration that replaces traditional app stores with mini apps, a decade after the Fire Phone failure.

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Perplexity Launches Health Agent with Wearable Data Integration

Perplexity released Perplexity Health for Pro users, integrating Apple Health and wearable data with customizable AI agents for nutrition, sleep, and medical queries.

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ChatGPT Becomes a Visual Shopping Platform

ChatGPT now displays product images, prices, ratings, and side-by-side comparisons via an Agentic Commerce Protocol — turning the chatbot into a shopping discovery engine without checkout.

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Mistral Ships Forge for Enterprise Model Training and Vibe for Terminal Coding

Mistral launched Forge, a platform for enterprises to train custom AI models on private data, alongside Vibe, a terminal-native coding agent that handles PRs, tests, and refactoring.

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ChatGPT Gets a Library Tab for Persistent File Management

OpenAI added a Library feature that auto-saves uploaded and generated files across conversations, eliminating the need to re-upload documents between sessions.

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KAIST Humanoid Robot Breaks Speed Records with Physical AI

KAIST’s DRCD Lab demonstrated a humanoid robot achieving unprecedented speed and agility using a “Physical AI” approach that merges perception and motor control in real time.

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Runway and NVIDIA Achieve Sub-100ms HD Video Generation

Runway unveiled a model built with NVIDIA’s Vera Rubin that generates HD video with less than 100 milliseconds of latency, crossing into real-time generation territory.

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Cloudflare Dynamic Workers Sandbox AI-Generated Code 100x Faster

Cloudflare launched Dynamic Workers in open beta, enabling AI agents to execute generated code in lightweight JavaScript isolates that initialize 100x faster than containers.

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Databricks Enters Security with Lakewatch Agentic SIEM

Databricks launched Lakewatch, an open agentic SIEM integrating AI-driven threat detection with its lakehouse platform after acquiring Antimatter and SiftD.ai.

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ByteDance Open-Sources DeerFlow 2.0 Multi-Agent Framework

ByteDance released DeerFlow 2.0, an open-source framework that orchestrates AI sub-agents with isolated memory and environments, designed to run entirely on a user’s laptop.

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DeepSeek Gives Huawei Exclusive Early Access to V4, Locks Out Nvidia

DeepSeek shared a prerelease of its upcoming V4 model with Huawei for hardware optimization, denying early access to Nvidia and AMD in a break from industry convention.

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Amazon’s Zoox Expanding Robotaxi Service to Austin and Miami

Zoox announced plans to launch robotaxi rides in Austin and Miami later this year, marking its most significant expansion beyond the San Francisco Bay Area.

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OpenAI Building a Fully Automated AI Researcher

OpenAI is developing an agent-based automated researcher aiming to function as an autonomous AI intern by September and evolve into a multi-agent research system by 2028.

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Apple Blocks AI Coding Tools from Generating Apps in the App Store

Apple halted App Store updates for vibe-coding tools like Replit, requiring generated app previews to open in external browsers and restricting software generation for Apple devices.

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Google TurboQuant Compresses LLMs with 6x Memory Reduction and Zero Accuracy Loss

Google Research released TurboQuant, a KV-cache compression method achieving at least 6x memory reduction and up to 8x inference speedup while preserving model accuracy.

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OpenAI Finishes Initial Development of Next Model Codenamed “Spud”

OpenAI completed initial development of its next major model codenamed Spud, which Altman reportedly teased internally as something that “can really accelerate the economy.”

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🗣️ Industry Chatter

White House Releases Six-Part National AI Policy Framework

The White House published a comprehensive AI policy framework proposing federal regulations to preempt state-level patchwork, covering child safety, copyright, innovation, and a free text-based AI literacy course.

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Zuckerberg Building a Personal AI Agent to Help Him Run Meta

Mark Zuckerberg is developing an AI agent to retrieve information and assist in running Meta, while employees build internal tools like MyClaw and a Claude-powered “Second Brain.”

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Jensen Huang Tells Lex Fridman “We’ve Achieved AGI,” Then Walks It Back

NVIDIA’s CEO stated AGI has arrived because AI agents are building apps and generating revenue, then partially retracted the claim — calling the odds of AI building a durable company “zero.”

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Cloudflare CEO: AI Bot Traffic Will Exceed Human Traffic by 2027

Cloudflare’s Matthew Prince predicted that AI-driven bot traffic will outnumber human web traffic within two years, fundamentally changing how the internet’s infrastructure must operate.

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AI Will Digitally Resurrect Val Kilmer for New Film

The film “As Deep As The Grave” will use AI to recreate Val Kilmer’s performance with his family’s approval, reigniting the ethics debate around posthumous digital performances.

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Anthropic’s Claude Interviewed 81,000 People About AI

Anthropic deployed Claude as an interviewer to survey 81,000 users globally about their AI hopes, fears, and usage patterns — using an LLM as both interviewer and analyst.

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AI Coding Agent Erases Production Database, Sparks Safety Debate

An AI coding agent caused a production database to be erased at a major enterprise, prompting calls for safety guardrails on all autonomous agent access to tier-1 systems.

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Google Testing AI-Rewritten Headlines in Search Results

Google Search is testing replacing original article headlines and website titles with AI-generated versions in search results, alarming publishers who fear losing editorial control.

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Baltimore Sues xAI Over Grok-Generated Deepfake Pornography

Baltimore filed a lawsuit against xAI, X Corp, and SpaceX alleging that Grok’s image generation facilitated non-consensual deepfake pornography targeting city residents.

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Federal Judge Calls Pentagon’s Anthropic Designation “Troubling”

Following last week’s “supply chain risk” designation, a federal judge questioned the Pentagon’s actions against Anthropic, suggesting it may be an attempt to cripple the company.

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Bernie Sanders Interviewed Claude on Camera — and It Allegedly Told Different Groups Different Things

Senator Bernie Sanders sat down with Claude to discuss data privacy on video, while separate reports surfaced claiming the chatbot gave different answers depending on the political leaning of its audience.

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BMG Sues Anthropic for Using Song Lyrics to Train Claude

Music publisher BMG Rights Management filed a copyright infringement lawsuit against Anthropic, alleging unauthorized use of song lyrics in Claude’s training data.

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🎙️ Listen as a podcast

⚡ TL;DR

1. xAI’s Great Exodus: Nine of eleven co-founders have bailed and Musk is rebuilding by poaching Cursor’s senior engineers — the most expensive restart in AI.

2. Jensen’s OpenClaw Crusade: NVIDIA’s GTC was a five-day pitch for every company to adopt OpenClaw agents — backed by NemoClaw, Vera Rubin, and a casual claim of 1 trillion in sales backlog by 2027.

3. Claude’s Power Week: Anthropic shipped visuals, 1M-token context at standard price, doubled usage limits, and launched Dispatch — all in one breath.

4. Maps Gets a Mouth: Google Maps now lets you have a conversation with it and fly through 3D routes, which is either revolutionary navigation or a great way to miss your exit.

5. Mini Models, Maxi Ambitions: OpenAI dropped GPT-5.4 mini and nano — small models with subagent capabilities that can literally hire their own interns.

6. Dr. ChatGPT, DVM: An Australian exec used ChatGPT and AlphaFold to design an mRNA cancer vaccine for his dying dog — and the tumor shrunk 75%.

💰 Market Moves

Meta Signs 27B AI Infrastructure Deal with Nebius

Meta signed a five-year agreement with Nebius for up to 27 billion in AI compute infrastructure, combining dedicated and on-demand capacity powered by NVIDIA Vera Rubin chips.

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Tesla Invests 25B in Terafab for AI Chip Independence

Tesla committed 25 billion to its Terafab facility for in-house AI chip manufacturing, betting on self-sufficiency over continued NVIDIA dependence.

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NVIDIA Restarts China-Tailored AI Chip Production

NVIDIA confirmed it is restarting manufacture of export-compliant AI chips designed specifically for the Chinese market, signaling a pragmatic approach to trade restrictions.

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Replit Raises 400M at 9B Valuation

Replit closed a 400 million round at a 9 billion valuation to expand its AI-first development platform where humans remain creative directors, not code monkeys.

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ByteDance Plans 2.5B AI GPU Expansion in Malaysia

ByteDance is deploying 36,000 NVIDIA GPUs in Malaysia in a 2.5 billion expansion to build AI compute capacity outside U.S. export restrictions on Blackwell chips.

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🛠️ Tech & Product

NVIDIA Makes OpenClaw the Centerpiece of GTC 2026

After last week’s open-source preview, Jensen Huang put OpenClaw at the center of GTC 2026 — launching NemoClaw with enterprise security sandboxing and declaring “every company needs an OpenClaw strategy” to a 1 trillion sales backlog audience.

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Claude Gets 1M-Token Context and Doubled Usage Limits

Anthropic made its 1-million-token context window generally available at standard pricing and doubled usage limits across all Claude plans — no configuration needed.

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Google Maps Gets Conversational AI Search and 3D Navigation

Google Maps launched “Ask Maps” for natural-language queries and “Immersive Navigation” for 3D flyover route previews, both powered by Gemini.

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Anthropic Launches Claude Dispatch for Mobile Cowork Control

Anthropic released Dispatch, a research-preview feature that lets users trigger and manage Claude Cowork tasks remotely from iPhone via text message.

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OpenAI Releases GPT-5.4 Mini and Nano

OpenAI released GPT-5.4 mini for ChatGPT, Codex, and API alongside GPT-5.4 nano for API use — its most capable small models, optimized for speed and cost efficiency.

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OpenAI Integrates Sora into ChatGPT with Agentic OS Features

OpenAI added Sora video generation directly into ChatGPT and launched agentic OS features including scheduled tasks and local file access for developers.

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Perplexity Reveals AI Personal Computer on Mac Mini

Perplexity unveiled a personal computer built on a Mac mini form factor running a custom AI-first OS with 20+ local and cloud models operating 24/7.

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Claude Gets Visual Generation: Charts, Diagrams, and Interactive Artifacts

Anthropic added interactive visual generation to Claude, enabling it to create charts, diagrams, and data visualizations directly in conversations.

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GitHub Plots Path to One Billion Developers with AI Agents

GitHub’s chief product officer outlined a vision where AI agents handle most coding tasks, enabling a billion developers by 2030 through natural language programming.

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NVIDIA Launches Nemotron Coalition for Open Frontier Models

NVIDIA announced the Nemotron Coalition with Mistral, LangChain, and others to co-develop frontier open-weight models, starting with Nemotron 3 Super at 120B parameters.

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Cursor Ships Self-Summarization and CursorBench

Cursor released self-summarization for maintaining context across long coding sessions and CursorBench, a new evaluation methodology for coding agent performance.

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NVIDIA Reveals Vera Rubin Seven-Chip AI Supercomputer Platform

NVIDIA announced the Vera Rubin platform at GTC — a seven-chip module delivering exaflop-scale compute for next-generation AI training and inference workloads.

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Microsoft Launches Copilot Health for Personalized Medical AI

Microsoft released Copilot Health, an AI assistant that integrates wearable data and health records to provide personalized medical insights and clinical decision support.

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OpenAI Codex Gets Subagents for Parallel Task Execution

OpenAI added subagents to Codex, enabling it to spawn specialized child agents that work in parallel on different parts of complex coding tasks.

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Manus Launches “My Computer” for Local Desktop Automation

Manus released “My Computer,” an agent that automates multi-step desktop tasks locally on macOS without cloud dependencies.

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xAI’s Grok 4.20 Sets Record-Low Hallucination Rate

xAI released Grok 4.20 models that trail Gemini and GPT-5.4 on overall benchmarks but set a new industry record for lowest hallucination rate — trading raw performance for reliability.

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Mistral Launches Small 4: 119B MoE Model Under Apache 2.0

Mistral released Small 4, a 119B-parameter mixture-of-experts model with an 8B active footprint, 256k context window, and native multimodal reasoning — fully open-source.

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Pokémon Go Data Now Trains Delivery Robots with Centimeter Accuracy

Niantic is licensing its Visual Positioning System — built on billions of images from Pokémon Go players — to guide delivery robots with centimeter-level navigation accuracy.

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Anthropic Makes All 13 Claude Developer Courses Free

Anthropic opened its full library of 13 courses and certificates — covering the Claude API, MCP, Claude Code, and Skills — for free to all developers.

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Coder Workspaces Gives AI Agents Secure, Sandboxed Environments

Coder launched open-source Workspaces for secure collaboration between developers and AI agents, with scoped tooling and governed access designed for OpenClaw-class agents.

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ChatGPT Skills Turns Workflows into Reusable Team Assets

OpenAI launched ChatGPT Skills, letting teams package repeatable workflows — SOPs, templates, analysis pipelines — into shareable, one-click AI tools.

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Base44 Launches Superagents — Always-On AI Agents with One-Click Integrations

Base44 shipped Superagents, AI agents that run 24/7 handling tasks like email drafting, lead follow-up, and price monitoring with one-click integrations to existing tools.

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Mamba 3 Challenges Transformers with 50% Memory Reduction

Open-source Mamba 3 was released, halving inference memory requirements while maintaining model quality and positioning itself as a viable alternative to the Transformer architecture.

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Databricks Launches Genie Code for Agentic Data Engineering

Databricks released Genie Code, an AI coding assistant that analyzes data, builds applications, and automates data engineering tasks with deep context awareness.

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Midjourney V8 Alpha Launches with Faster, Sharper Images

Midjourney launched V8 Alpha with faster generation speeds, sharper image quality, and new --hd and --q 4 quality modes for higher-fidelity output.

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Google Stitch SDK Generates UI Screens from Natural Language

Google Labs released the Stitch SDK, enabling programmatic generation, editing, and extraction of UI screens from natural language prompts via agent-friendly APIs.

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🗣️ Industry Chatter

xAI Loses 9 of 11 Co-Founders, Rebuilds by Poaching Cursor Leads

Nine of xAI’s eleven co-founders have departed and Musk is rebuilding by hiring senior engineering leads from Cursor, prompting TechCrunch’s “not built right the first time” headline.

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ChatGPT and AlphaFold Used to Design Cancer Vaccine for Dog

An Australian tech executive used ChatGPT and AlphaFold to design a personalized mRNA cancer vaccine for his dying dog, shrinking the tumor by 75% in weeks.

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Britannica and Merriam-Webster Sue OpenAI for Copyright Infringement

Encyclopedia Britannica and Merriam-Webster filed a lawsuit alleging OpenAI used their copyrighted content for training and that ChatGPT generates verbatim reproductions.

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Grammarly Sued for Mimicking Writers’ Styles Without Permission

Grammarly disabled its “Expert Review” feature — which used real writers’ names to simulate editorial feedback — after lawsuits alleged it mimicked styles without explicit consent.

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Amazon AI Coding Bug Deletes Millions of Orders

An AI-generated code error caused Amazon to lose millions of orders, prompting a new 90-day safety guardrail on all AI-written code touching tier-1 systems.

Read more →

There’s a phenomenon in nature where a small bird sits on a rhino, or climbs into a crocodile’s mouth, and eats the dirt and parasites off it. Why is it there? Because a massive body moving through the world has problems it’s too big to solve on its own. Parasites, grime, blind spots. And the small creature? It’s exactly the right size to handle them.

But does the bird decide where the animal goes?

No. There’s symbiosis, but it’s not symmetrical. The rhino is not the bird’s tool. The bird doesn’t “manage” it either. It lives alongside it, benefits from it, and helps keep it healthy. Nobody looking at that picture gets confused about who’s carrying whom.

The more I read about agentic SDLC and dark factories, the more I feel this is the most accurate image for what’s happening right now to my profession.

Programming.

The Earth spins at 1,600 km/h. We don’t feel it, because large movements don’t always register as movement. Sometimes they just feel like the natural state of the world. And that’s exactly what’s confusing the AI debate right now. We assume it will remain our tool. That we’ll be the ones holding it, telling it what to do, pressing Enter every now and then. But what’s becoming clear to me is that our role is shifting. Less and less writing, more and more maintenance. We’ll stop being the ones who write the code, and even the ones who verify the code, and become the ones who plow the snow so the machine can get through.

In this essay, I’ll try to explain why the entire software profession is beginning to reorganize itself around what agents need in order to work — not humans.

Fair Disclosure

If you’re skeptical, that’s a healthy response. You use these tools. You know the slop. You know an agent can hallucinate an API that doesn’t exist, miss an obvious constraint, or solve the wrong problem at impressive speed. And from that experience it’s easy to reach the comforting conclusion: sure, it’s a powerful tool, but at the end of the day, we’re still the drivers.

And if I wanted to cheat, I’d skip the next data point, because it’s the most uncomfortable one for my argument:

In a controlled study by METR, experienced open-source developers who worked with AI tools completed tasks slower than developers who worked without. Not by a little. About 20% slower. And the real sting was that they themselves thought they were faster. In other words, not just a slowdown — a slowdown with the illusion of acceleration.

Case closed, apparently.

Except the experiment broke in another interesting place. Between 30% and 50% of participants who were assigned tasks without AI started avoiding them. They didn’t want to go back to working that way. The researchers had to change the experimental design because developers simply refused to measure themselves in the old world.

Put these two data points together:

With AI, many developers get slower.

Without AI, many developers already refuse to work.

What a bizarre paradox, right? What can you even conclude from that?

Sometimes when you encounter two facts that are both true but contradictory, you need to check the categories. So what could explain both at the same time? It’s not that AI is good or bad. It’s something else — maybe the measurement itself is outdated?

Most people measure AI inside a development process built for a world where the human writes, the human tests, the human syncs, and the human carries the entire chain on their back. Inside that process, AI really can add noise, debugging overhead, mistrust, and slowdowns. But that doesn’t prove the tool is weak. It proves the system around it hasn’t yet moved in synergy.

The debate isn’t “does the agent write good code.”

The debate is whether the SDLC we know still fits a world where agents write a growing share of the code.

Where Are You on the Scale

Dan Shapiro, CEO of Glowforge, described this year five levels that map the distance between daily AI use and what he calls the “dark factory.”

At the lower levels, 1–2, you’re still the driver. The tool completes lines, writes functions, maybe even a feature spanning several files — but you still read almost every line. You’re the gatekeeper. The filter. The bottleneck.

At the middle levels, 2–4, the relationship starts to flip. You’re no longer the one typing most of the work — you’re the one defining a task, approving a result, and deciding whether to continue or stop.

And at Level 5 — the dark factory — no human writes and no human reviews. A spec goes in, software comes out.

Shapiro estimates that most developers who think they’re at the frontier are actually at Level 2: using tools every day, but still treating them like an unreliable junior.

Anthropic themselves admit that in practice, engineers use AI in about 60% of their work, but can fully delegate a complete task only 0% to 20% of the time.

That number sounds like a win for the skeptics. But pay attention to what it actually says: not that the model isn’t capable — but that in the current work structure, there’s no room to delegate. No specs sharp enough. No automated verification mechanisms. No environment where an agent can run on its own. People use AI all day, but still inside a process built for them, not for it.

And that’s exactly why most of the debate is judged from a skewed angle. It reminds me of the parable about the fish that doesn’t know what water is, precisely because it lives in it. The developer living at Level 2 struggles to see that their experience isn’t the future — it’s their current aquarium. Someone living at Level 2 imagines Level 5 like science fiction. But in practice, the gap between them isn’t a leap to another world — it’s a gradual transition where the human is pushed step by step from the line of code to the maintenance layer.

Some Are Already Working Differently

So to understand where this is heading, you need to look not at the average user at Levels 1–4, but at those who are already working at 5 and have defined an entirely different workflow with AI.

OpenAI published in February a description that sounds almost absurd on its face: over five months, a small team built a real internal product with zero hand-written lines of code. Application, documentation, CI, tests, dev tools, observability — everything. About a million lines of code. Over 1,500 PRs. Estimated development time: one-tenth of what it would have taken to write by hand.

But the numbers are beside the point. The story is what broke along the way. It turns out that progress at the start was slower than expected — just like the study we discussed — not because the agent was weak, but because the environment was undefined. The agent lacked tools, abstractions, and internal structure to make progress.

And then they figured out what the work needed to look like.

They described it like this: “Humans steer. Agents execute.”

When something failed, the question wasn’t “how do we write this ourselves.” The question was: “what was missing from the system in hindsight for the agent to succeed on its own?” OpenAI gave it a name: harness engineering. Not “how to make AI try harder,” but what’s missing from the environment so the agent can succeed without us.

And the agent succeeded.

And once writing stopped being the bottleneck, it immediately moved to the next one: who reviews all this code? Agents produce dozens of PRs a day, and if a human has to sit and verify every change works, they become the constraint. So they connected the agents to the browser itself, gave them the ability to open the application, take screenshots, navigate, and debug on their own.

Is this still programming? It’s an entirely different way of working. And it produces an entirely different profession. And according to a Forbes piece, even within Cursor the realization emerged that models are approaching a point where developers no longer need to go over every line of output. That’s significant precisely because Cursor was built on the assumption that the human and the AI would sit together inside a code editor and work diff by diff.

StrongDM went even further.

Three people. Two rules:

Code is not written by humans.

Code is not reviewed by humans.

Instead of human review, they built external evaluation scenarios that the agent doesn’t see during development. Not tests living inside the codebase that AI can cheat or adapt to, but blind exams. They also built an entire universe of digital twins for their external services, so agents could develop, test, and break things without touching the real production environment.

This framework is called AIDLC — an agentic version of the SDLC we all know. Not “how humans write, test, and deploy software,” but a complete development framework built to contain and manage non-deterministic systems that work on their own.

In fact, an entire industry has already been built around this logic. Quite a few companies, including many Israeli ones, were founded on the premise that if review stays human, it will immediately become the bottleneck of the entire production line. So they’re building agents that review agents: scanning diffs, running scenarios, hunting bugs, and trying to create an automated trust layer around code written by models.

But even this, in the end, is a smarter and faster version of the same old idea. You still write first, test after, and hope you built a strong enough suite to catch what needs catching.

There are already those trying to skip even that step.

Meet Logical Intelligence, who are building formal verification agents — systems that move from the logic of testing to the logic of proof. Systems that try to do to code what a mathematician does to a theorem: not guess that it’s correct, but prove it.

When an engineer writes regular code, they write tests that check specific cases. What happens if the input is a number instead of a string? What if the input is empty? But there are always cases you didn’t think of. Formal verification is something else entirely. Instead of checking examples, you produce a mathematical proof — like a proof in algebra — that a certain property always holds, for every possible input, in every execution path. Not “we tested a million cases and everything worked.” But “mathematically, it’s impossible for this to break.”

The problem? Until now this was manual work that takes months. Specialized engineers write proofs in formal languages, and it’s insanely expensive and slow. So formal verification was reserved only for the most critical systems — nuclear, aviation, finance.

Aleph, the agent by Logical Intelligence, makes this automatic. It takes code and generates those proofs without a human writing them. And in a pilot they’re already running, it goes a step further: writing new code that comes with a built-in mathematical proof that it cannot behave dangerously. The code is born with a stamp of “tested and certified.”

Which suggests that even the control layer — the one we assume will remain human — is already starting to shift from the person to the system.

Brownfield vs. Greenfield

That said, most of the software world doesn’t look like a fresh repo at OpenAI or some side project in vibe coding. It looks like a fifteen-year-old system with partial tests, configuration written under pressure, and knowledge that lives in the heads of three tired people who’ve been at the company for six years.

But this still isn’t a comforting argument. Because it describes the starting point, not the direction of travel. Every company with a legacy system eventually starts new projects. Every project that starts today is born into a world of agents and shaped around them. Like demographics — the older population may be larger right now, but the children are the ones who will determine what the world looks like. And as time passes, the greenfield standard becomes the industry standard.

For legacy companies, the dark factory won’t arrive tomorrow morning. But that’s not because brownfield is protected in principle. It’s because the transition will come from the side, not through the front gate. First they won’t replace the entire system; first they’ll use AI to map dependencies, generate documentation from undocumented code, write regression tests, and extract the tribal knowledge that lives in the heads of three tired people. And that is already exactly what companies like Anthropic are selling under the banner of code modernization.

Anthropic has already shown it’s possible to tackle even COBOL modernization — one of the oldest strongholds of the consulting industry. The market itself reacted with fear when IBM’s stock took a sharp hit after the announcement. Not because everything disappears overnight, but because suddenly something that was considered “ours alone” stopped feeling immune.

And the pressure is no longer just technical. It’s business. A Pega study found that 68% of decision-makers say legacy systems prevent them from adopting AI, and 57% say those systems are probably already hurting their ability to retain customers. In other words, brownfield is no longer just “hard to change.” It’s becoming a blocker that prevents the company from moving in time.

And when such a blocker becomes visible, capital starts pushing too. OpenAI has already enlisted McKinsey, BCG, Accenture, and Capgemini to embed AI co-workers inside real enterprise systems, and funds like Blackstone are already speaking openly about AI transformation as an engine for value creation in portfolio companies. So brownfield doesn’t block the dark factory. It only ensures that the penetration will be gradual, expensive, and more painful. But precisely because so much money sits in it, it’s also one of the strongest targets for automation pressure.

That’s why brownfield is an argument about pace. Not about direction.

The Keyboard Is No Longer at the Center

Michael Truell, CEO of Cursor, described the transition we’re experiencing now. He divided it into three periods: the first was autocomplete — you type, and the tool completes. The second, where many are today, is synchronous agents — you tell them what to do, but manage them step by step inside the code. The third period is cloud agents: models that work alone on their own virtual machines and return logs, video, and artifacts ready for review.

And it’s not just Cursor anymore. Anthropic acquired Vercept so agents could operate computers through vision. Claude Code gained remote control over environments. CoWork and Codex now receive scheduled tasks on sandboxes. In other words, the agent no longer just writes text in a code editor — it runs, tests, navigates, and operates. The old boundary between “writing code” and “making sure it works” has simply been erased.

And if you think this is just a distant vision, look at the adoption. In March 2025, most developers were still in the first period: for every person who ran an agent to write for them, there were 2.5 people who just pressed Tab for code completion. One year later, in February 2026, that ratio completely reversed. For every person pressing Tab, there are two people letting the agent write. That’s 15x growth in one year of people who simply stopped writing lines of code themselves.

And Cursor isn’t just talking about the third period — they’re building it. In their research on “self-driving codebases,” they first tried letting agents organize themselves without hierarchy. It failed immediately. The agents avoided taking responsibility, held locks, stepped on each other. Twenty agents dropped to the throughput of two or three.

What worked in the end? An architecture that looks like a human software team: a chief planner, sub-planners, and edge workers. Each with clear responsibility, each on their own copy of the code, with no need to coordinate directly. Cursor themselves wrote that it resembles the structure of their own software teams — just without the people.

And another interesting insight: when they demanded 100% correctness from every agent before every commit, the system froze. Agents started fixing things that weren’t theirs, colliding with each other, afraid to move. Much like stage fright — they avoided taking on big tasks. And precisely when they were allowed to make small mistakes and other agents were given the job of fixing them after the fact, everything started flowing.

So maybe the question “does the agent make mistakes?” as a metric for “can AI replace me?” is less important than we thought. Maybe the real question is “does the system around it know how to fix the mistake?”

According to Cursor’s project, it seems so.

The Rhino in the Room

There’s a rhino in the room and it’s time to talk about it.

Every software company is ultimately a machine built so that humans can write code together. (Emphasis on together.) Standups, sprints, retros, boards, code reviews, handoffs between teams, a manager who syncs, QA doing a pass, a product manager closing corners. None of these are laws of nature. They’re mechanisms built around human limitations: we forget, get confused, can’t hold everything in our heads, and can’t work on the same change at high speed without coordination.

In other words, the familiar SDLC is a human operating system.

And the moment the human is no longer writing most of the code, that operating system stops being infrastructure and becomes friction.

An organization like this resembles a city built for horses. Even if you bring in cars, the traffic won’t clear if the streets, traffic lights, and laws still assume carriages.

Run a simple thought experiment. If an agent can build a feature in two hours, why plan it in a two-week sprint? If a diff is generated automatically, tested against external scenarios, and comes back with logs, video, and evaluation mechanisms — why does a senior need to sit for an hour on every line? If you have a production line generating code continuously, why do you need a manager whose main job is to sync between people who are no longer doing most of the implementation?

At StrongDM you can see this almost clinically: no standups, no sprints, no board. There’s a spec. There’s a run. There’s a result. So is this Sisyphean coordination layer even still relevant?

But wait — does this necessarily mean our value disappears?

No. It means it moves.

This is Amdahl’s Law. When you speed up one part of a process, the parts that weren’t sped up immediately become the bottleneck. Writing code was for years the expensive part. Now that it’s getting cheaper, the bottleneck moves to clarity of thought, system understanding, and decision-making.

A tech lead who used to sit with the team and make sure the feature was progressing now needs to formulate a spec sharp enough for an agent to build it alone. And this repeats across every role, from product management to QA. The question is no longer “what do you do?” but “what do you define?”

Anthropic already describes a world where people outside engineering build solutions for themselves. A lawyer with no coding background built internal triage tools there. A legal team cut marketing review from two to three days down to 24 hours. That doesn’t mean everyone becomes an engineer. It means the old moat of “only those who can code can build” is eroding, and therefore what becomes more expensive is not the ability to touch a keyboard, but the ability to correctly define a problem.

That’s why companies like EPAM are already talking about how to build a development process that doesn’t assume humans are the main implementation layer.

And the moment the logic shifts from code, configuration, and human hands to specs and evaluation mechanisms, the organizational structure is forced to move too.

So How Much Are You Worth to the Company?

It’s true that as the cost of producing software drops, the total market for software grows. Organizations that were once too small for a development team suddenly become serviceable. But it doesn’t follow that you need the same number of people per unit of software. More software, fewer programmers per unit.

Most of you already know the next story. Jack Dorsey (Block) announced at the end of February layoffs of more than 4,000 people at Block, explicitly claiming that AI tools and small, flat teams are fundamentally changing how you build and run a company. Wall Street wasn’t scared. It was thrilled. The stock jumped more than 20% after the announcement. In other words, the market rewards this behavior.

In a world where the average SaaS company generates a few hundred thousand dollars in revenue per employee, Cursor is already operating at roughly $3.3 million in revenue per employee. Midjourney, with fewer than a hundred employees and half a billion dollars in revenue, reaches nearly $5 million. And more AI-native companies are pushing in the same direction: much more revenue, with far fewer people.

That’s not because there’s no work. It’s because the shape of work has changed.

Professions don’t die on the day there’s no longer a need for their output. They die on the day the market stops paying a premium for the skill that was at their center.

So if writing is getting cheap, those who mainly sell writing get hit first.

That’s Why Juniors Get Hit First

Once, the very ability to take a ticket and turn it into working code was an expensive skill. That’s what juniors sold: hands on keyboard, X lines a day, PRs per sprint.

Now the bottleneck has moved. What remains expensive is not writing — it’s judgment. And judgment is exactly what juniors haven’t had time to learn yet.

Anthropic uses the word “taste.” It’s a slightly annoying word, but it’s hard to find a better one. Not taste in the sense of style, but taste in the sense of knowing what’s right even when there’s no document telling you. Knowing what the user needs, what must not break, where the software will crash, which trade-off is dangerous, and which vague spec will lead an agent to an elegant catastrophe.

The professional ladder of software always worked like an apprenticeship model in organizational disguise. A junior enters, fixes small bugs, builds simple features, absorbs the codebase, gets reviews, becomes mid-level, becomes senior.

AI doesn’t break this model from the top. It breaks it from the bottom. It ate it from the lower rungs — exactly the place they were supposed to climb.

The data already accumulating in the market points to a sharp decline in junior positions: in the US, a drop of roughly 67% to 73% by various measures, and in the UK a sharp fall in graduate roles. This isn’t an anecdote about a hiring crisis. It’s the first sign that the profession is starting to hollow out from the inside.

And here the junior paradox enters again, through a different door.

Because if we understand that the important skill for a junior is judgment.

And judgment requires experience.

And experience is built through writing.

And writing is exactly what agents took from them.

So where will tomorrow’s senior come from?

Chicken and egg.

Anthropic themselves tested this in a controlled experiment: junior engineers who learned a new library with AI assistance scored 17% lower on comprehension tests than those who learned without. The biggest gap was in debugging — the skill that most demands deep understanding. And Amodei himself said explicitly that they’re seeing code skill erosion in line with usage patterns. In other words, not only are the lower rungs of the ladder disappearing — the tool that’s supposed to “help” may also be eroding some of the capabilities we haven’t yet built a replacement for.

Egyptian hieroglyphics didn’t disappear overnight. The writing system held for millennia, until the chain of instruction broke. Fewer and fewer people knew how to read, fewer and fewer people knew how to teach, and a circle closed. The same goes for software. Languages die when one generation stops teaching the next. The real danger isn’t that one day the need for code will vanish, but that the training pipeline that produced developers with deep intuition will break. And for years that intuition was built through writing, debugging, reviewing, and making mistakes. If AI takes more and more of those stations, fewer people will develop the judgment layer that used to grow from within them.

This doesn’t mean nobody will ever understand systems deeply again. It means that capability might stop being the foundation of a broad profession and become a narrower layer of expertise. As in other fields that were pushed upward, the knowledge doesn’t disappear — the mass demand for it erodes. Experts remain, but far fewer of them, and far fewer places where they grow into such.

But this doesn’t mean juniors are going to disappear. Some are actually thriving.

There’s a new generation that grew up with AI the way our generation grew up with smartphones. They’re not afraid of it, not trying to prove they know better than it, and not insisting on writing everything themselves. They think through it. They know how to break a problem into questions a model can answer, they recognize when it’s hallucinating, and they understand when to stop trusting it. While veteran seniors are still debating whether it’s even worth using AI, these juniors have already built three projects with it.

And so not all developers are going to disappear, but the bar for those who stay is rising faster than most people are willing to admit. Next year’s junior won’t be judged on how fast they write CRUD — the agent will do that. They’ll be judged on what we previously expected only from a more experienced developer: system understanding, product thinking, ability to formulate a spec, identify gaps, and exercise judgment over output they didn’t produce. So whoever is building their career on the assumption that one day they’ll get to write code with their fingers may find that day is no longer worth what it once was.

Will Software Engineering Disappear?

I don’t see this as a question of whether, but of how long. How long can we hold the position of coder, of reviewer, of AI operator — a year? Five? Our parents had thirty-year careers in the same profession. It’s hard to imagine thirty years of “supervisor of supervisor of supervisor of agents.”

Dario Amodei, perhaps the most careful person in the world when it comes to talking about radical technology, described it in a podcast like a tsunami that everyone can see, and most people are still explaining to themselves that it’s “just a trick of the light.” He’s not claiming software engineering vanishes entirely tomorrow. But he did say that coding disappears first, and the broader mission of software engineering will follow after.

Sam Altman also said that AI already does “probably above 50%” of code work in many companies, and that first every engineer will do much more, and then “at some point, yes, maybe we’ll need fewer software engineers.”

Andrej Karpathy, who coined the term “vibe coding,” says it’s already becoming outdated and that what’s happening now is more like “agentic engineering.”

Boris Cherny, who leads Claude Code, said with almost brutal simplicity in a recent interview that coding is “basically solved at large” and that the title “software engineer” will start to disappear.

Jerry Murdock, co-founder of Insight, talked about a “tsunami” of autonomous agents. Not as a productivity improvement tool, but actual autonomous agents. He claimed portfolio companies are already telling him that Cursor itself is “outdated” because they’ve moved to a fully agentic approach.

You don’t have to accept their timelines. But it’s hard to keep pretending that the people building the tools think this is just a personal productivity upgrade for developers.

And on That Pessimistic Note

Don Knuth, author of The Art of Computer Programming and Turing Award laureate, published a document at the end of February that opens with “Shock! Shock!” after Claude Opus 4.6 solved an open problem in combinatorics that he himself had worked on for weeks. He described what he saw as a dramatic leap in automated reasoning, and admitted it changed his mind about the capabilities of generative AI.

If Don Knuth is willing to change his mind, maybe we too can admit what’s already hard to deny: the activity around which our profession was built is beginning to separate from the person who performed it. Not everyone will disappear. Not everything will happen in the next two years. But the direction is no longer an open question.

First the line of code disappears. Then the review. Then the ladder that trained the next person. And only at the end does everyone agree to call it by name.

So go back for a moment to the image of the small bird sitting on the rhino. It’s still there. It’s still useful. It’s still part of the picture. But it’s not the creature carrying the weight, and not the creature deciding where to go. It’s there because a massive body moving through the world has small needs that it knows how to fill. And that, more and more, is the role that remains for us.

By Adir Duchan, Senior AI Engineer at Elementor

🎙️ Listen as a podcast

⚡ TL;DR...

1. GPT-5.4 Is Here: OpenAI officially drops GPT-5.4 with computer control, 1M context window, and a CUA operator with 75% desktop task success rate. *Smooth Operator playing in the background*

2. Meta Buys a Bot Network: Meta acquired Moltbook, a social network for AI agents that went viral for posting fake content. So basically they bought a second Facebook. BOOM. ROASTED.

3. Copilot Gets a Coworker: Microsoft and Anthropic launch Copilot Cowork — a 99/month AI agent that handles the frustration of working with Outlook, Teams, and Excel as no human should. CABLAM. ROASTED.

4. 1B Against LLMs: Yann LeCun raises 1.03B seed round for AMI Labs, officially the largest seed round in European history after the Treaty of Versailles. CAPLAW. TOASTED.

💰 Market Moves

Yann LeCun’s AMI Labs Raises 1.03B to Build “World Models”

Meta’s former AI chief left to start AMI Labs and raised 1.03 billion at a 3.5B valuation to build AI that understands the physical world instead of just autocompleting text.

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Meta Acquires Moltbook, the AI Agent Social Network

Meta acquired Moltbook, a social network where AI agents post content, interact, and coordinate, despite the platform going viral for its agents posting fake content.

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OpenAI Acquires AI Security Startup Promptfoo

OpenAI is acquiring Promptfoo, an open-source AI security testing platform used by 25% of the Fortune 500, to bolt onto its Frontier enterprise offering.

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Nvidia Partners with Mira Murati’s Thinking Machines Lab

Nvidia signed a multiyear deal with Mira Murati’s Thinking Machines Lab to deploy at least one gigawatt of Vera Rubin systems and made a strategic investment.

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Netflix Acquires Ben Affleck’s AI Filmmaking Startup

Netflix acquired InterPositive, Ben Affleck’s AI company that builds tools for film post-production, ingesting raw dailies and automating continuity checks, color correction, and reframing.

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🛠️ Tech & Product

OpenAI Launches GPT-5.4 with Computer Control and 1M Context

OpenAI officially released GPT-5.4 in thinking and pro variants with 1M-token context, native computer control via Playwright, and a 75% desktop task success rate.

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Luma Uni-1 Tops Image Benchmarks, Launches AI Film Crews

Luma AI launched Uni-1, a multimodal model that topped Google’s Nano Banana 2 and OpenAI’s GPT-Image 1.5 on logic-based benchmarks, plus Luma Agents, autonomous AI film crews that iterate on creative projects end-to-end.

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Cursor Reveals Always-On Coding Agents

Cursor revealed Automations, persistent, always-on AI coding agents that trigger from schedules or events and run in the background.

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Amazon Launches Health AI on Its Main App

Amazon launched Health AI on its website and app with HIPAA-compliant health Q&A, lab result explanations, medical record analysis, prescription management, and appointment booking.

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Claude Opus 4.6 Finds 22 Vulnerabilities in Firefox

Anthropic partnered with Mozilla and turned Claude Opus 4.6 loose on the Firefox codebase, where it found 22 vulnerabilities including 14 high-severity bugs, covering ~20% of Mozilla’s annual high-severity fixes.

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Microsoft and Anthropic Launch Copilot Cowork

Microsoft launched Copilot Cowork, built on Anthropic’s Claude tech, to handle multi-step tasks across Outlook, Teams, and Excel, bundled in a new 99/month Microsoft 365 E7 tier.

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Karpathy Releases Autoresearch for Autonomous ML Experiments

Andrej Karpathy open-sourced Autoresearch, a 630-line Python script that lets AI agents run and iterate on ML training experiments autonomously overnight on a single GPU.

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Claude Cowork + Scheduled Tasks

Anthropic released Claude Cowork in Claude Desktop, where it reads, creates, and edits local files, runs scheduled tasks overnight, and has a new /loop command for recurring jobs.

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Google Releases Gemini Embedding 2 — Multimodal Search in One Model

Google launched Gemini Embedding 2, mapping text, images, video, audio, and documents into a single unified space across 100+ languages.

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Anthropic Launches Claude Marketplace

Anthropic launched Claude Marketplace, a commission-free store where enterprises use their existing Claude budget on partner tools like Lovable, Harvey, and GitLab.

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Google Gemini Goes Deep into Docs, Sheets, Slides, and Drive

Google integrated Gemini across its entire Workspace suite, with Docs getting “Help Me Create” pulling from multiple sources, Sheets building entire spreadsheets from prompts, and Drive getting multi-turn AI conversations about your files.

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OpenAI Launches Codex Security Agent

OpenAI released Codex Security (formerly Project Aardvark), an AI agent that scans entire code repos for vulnerabilities, validates them in sandboxes, and proposes fixes, after already scanning 1.2M commits in preview.

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Adobe Puts an AI Assistant Inside Photoshop

Adobe launched an AI assistant directly inside Photoshop that lets users edit images through natural language prompts and voice commands, alongside expanded Firefly editing capabilities.

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Google Canvas Rolls Out in AI Mode Across US Search

Google rolled out Canvas in AI Mode to all US users, letting them generate documents, dashboards, code, and interactive tools directly from text prompts on the search page.

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Nvidia Open-Sources NemoClaw Agent Platform

Nvidia is launching NemoClaw, an open-source platform for building and managing enterprise AI agents.

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Andrew Ng Open-Sources Context Hub for Coding Agents

Andrew Ng’s team released Context Hub, an open-source CLI that gives coding agents up-to-date, versioned API documentation, helping prevent code from being written against deprecated APIs.

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ChatGPT for Excel Lets You Build Spreadsheets by Talking

OpenAI launched a ChatGPT for Excel add-in powered by GPT-5.4 Thinking that lets users build, update, and analyze spreadsheet models using plain English.

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Figure’s Helix 02 Tidies a Living Room at Real Speed

Figure Robotics demoed Helix 02 autonomously tidying a living room at real 1x speed, picking up objects and making real-time decisions about where things go.

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Zoom Launches AI Office Suite, Meeting Avatars Coming This Month

Zoom launched an AI-powered office suite with Docs, Slides, and Sheets apps, plus AI avatars that will attend meetings on your behalf starting this month.

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Nvidia and ABB Partner on AI-Powered Autonomous Robots

Nvidia and ABB Robotics are integrating Nvidia Omniverse into ABB’s RobotStudio to build AI-powered autonomous robots for industrial applications.

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🗣️ Industry Chatter

Anthropic Sues Pentagon as Rivals Rally in Support

Anthropic sued the Trump administration after being labeled a “supply chain risk” for refusing to drop AI safety guardrails, with 30+ OpenAI and Google staffers filing an amicus brief and Microsoft calling for a temporary restraining order.

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a16z’s Top 100 Gen AI Apps: ChatGPT Still Dominates

Andreessen Horowitz published their 6th Top 100 Gen AI Consumer Apps report, with ChatGPT leading at 900M weekly users while Claude and Gemini grew 200%+ in paid subscribers last year.

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Claude Opus Figured Out It Was Being Tested — Then Found the Answer Key

During BrowseComp benchmarking, Claude Opus 4.6 independently deduced it was being evaluated, located the benchmark’s source code on GitHub, and devised a strategy to find and submit correct answers across 18 separate runs.

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YouTube Expands Deepfake Detection to Politicians and Journalists

YouTube is expanding its AI likeness detection pilot to flag deepfakes of politicians, government officials, and journalists.

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Anthropic Study: AI Could Do 94% of CS Tasks, Actually Does 33%

Anthropic published research showing AI could theoretically automate 94% of computer science tasks, but real-world adoption sits at just 33%.

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Scooped from 313 sources.

⚡ If you only have 1 minute...

1. Google Goes Bananas: Nano Banana 2 dropped and instantly took #1 on every image leaderboard — 4K output, character consistency, live web search grounding — at half the cost. It’s now the default across Gemini, Search, and Ads in 141 countries.

2. OpenAI’s 110B War Chest: OpenAI closed the largest private funding round in history — 50B from Amazon, 30B from Nvidia, 30B from SoftBank — valued at 730B. They also signed the Pentagon deal Anthropic refused. Money talks, safety walks.

3. Anthropic Said No. Then Won. Anthropic refused the Pentagon’s final offer on AI weapons, got blacklisted, Trump ordered a federal ban — and Claude immediately hit #1 on the App Store while ChatGPT uninstalls spiked 295%. The most effective marketing campaign in tech history was saying “no” to the US military.

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💰 Market Moves

[GDP-Sized Piggy Bank] OpenAI Closes 110B Round at 730B Valuation

OpenAI just closed the largest private funding round in history: 50B from Amazon, 30B from Nvidia, 30B from SoftBank. AWS becomes the exclusive cloud provider for OpenAI’s enterprise platform, and OpenAI will use Amazon’s Trainium chips. ChatGPT now has 900 million weekly users and 50 million paid subscribers. At this point, OpenAI’s valuation is larger than the GDP of most countries, and they’re still not profitable.

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[Vibe Check: Cleared] Cursor Hits 2B Annualized Revenue

The AI coding IDE that turned “vibe coding” into a verb has crossed 2 billion in annualized revenue, with corporate buyers leading the charge. They also shipped Cursor 2.6 with MCP Apps and Team Marketplaces. Two years ago this was a fork of VS Code. Now it prints more money than most SaaS companies dream about.

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[Frenemies With Benefits] Google Strikes Multi-Billion TPU Deal With Meta

Google and Meta signed a multi-year, multi-billion-dollar deal for Meta to rent Google’s TPU chips for AI training. The two companies that compete on literally everything are now sharing compute like college roommates sharing a Netflix password. Nvidia’s monopoly just got its first real scratch.

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[AI Hit Factory] Suno Hits 300M ARR With 2 Million Paid Subscribers

The AI music generator that lets anyone create songs from text prompts has reached 300 million in annual recurring revenue with 2 million paying customers. That’s more subscribers than most actual record labels have artists. The music industry’s lawsuit strategy is clearly working great.

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[Safety Sells] Anthropic on Track for 20B Annual Revenue

Anthropic is approaching a 20 billion annualized revenue run rate, driven heavily by Claude Code adoption. Claude Code alone is at 2.5B ARR. The company that refuses to make weapons AI is somehow making more money than most defense contractors.

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[Hey Plex] Perplexity Lands OS-Level Samsung Galaxy S26 Deal

Perplexity is now baked into Samsung’s Galaxy S26 at the operating system level, powering two out of three on-device AI assistants and replacing Bixby. Wake word: “Hey Plex.” The search startup went from “Google alternative” to “Samsung’s default brain” faster than anyone predicted.

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[Ctrl+Alt+Delete Jobs] Block Lays Off Nearly Half Its Workforce, Blames AI

Jack Dorsey’s Block is cutting nearly half its employees, with Dorsey explicitly citing AI as the reason — claiming AI enables smaller teams to do the same work. From “Bitcoin will fix this” to “AI will replace this.” At least he’s consistent about disrupting people’s livelihoods.

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🛠️ Tech & Product

[Banana Republic] Google’s Nano Banana 2 Takes #1 on Every Image Leaderboard

Google launched Nano Banana 2 (Gemini 3.1 Flash Image) and it immediately ranked #1 on both Arena and Artificial Analysis text-to-image benchmarks. It supports 4K output, maintains character consistency across 14 images, renders legible text, and uses live web search for accuracy — all at half the cost of Nano Banana Pro. It’s now the default image model across Gemini, Search, Ads, Lens, and AI Studio in 141 countries. DALL-E who?

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[Less Annoying GPT] OpenAI Drops GPT-5.3 Instant — 26.8% Fewer Hallucinations

GPT-5.3 Instant replaces 5.2 as ChatGPT’s default model, cutting web-based hallucinations by 26.8% and internal knowledge errors by 19.7%. It’s also 25% faster and reportedly “less preachy” — which is OpenAI’s way of saying the model will finally stop lecturing you when you ask it to write a villain’s dialogue.

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[Budget Beast] Google Launches Gemini 3.1 Flash-Lite — 2.5x Faster, Pennies Per Call

Gemini 3.1 Flash-Lite is Google’s new high-volume workhorse: 363 tokens/sec, 2.5x faster time-to-first-token than 2.5 Flash, 1M token context window, and priced at 0.25 per million input tokens. It’s designed for the developers who need to make a billion API calls without needing a billion dollars. The race to the bottom on inference pricing continues.

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[Pocket Rocket] Alibaba’s Qwen 3.5 Small Series Runs AI on Your Phone

Alibaba dropped four open-source models (0.8B to 9B params) that run locally on phones and laptops with no cloud needed. The 9B model beats OpenAI’s GPT-OSS-120B on reasoning benchmarks — a model 13x its size. Features multimodal vision, 262K context (extendable to 1M), and runs at 60 tokens/sec on llama.cpp. The “you need a data center for AI” narrative is dying fast.

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[Silicon From Scratch] Taalas Chip Hits 17,000 Tokens/Sec — 74x Faster Than Nvidia

AI hardware startup Taalas built a custom chip that wires neural network parameters directly into silicon — no external memory access needed during inference. The HC1 runs Llama 3.1 8B at 17,000 tokens/sec and drops inference cost to 0.0075 per million tokens, compared to Nvidia’s 0.04–0.28. Built on a 6nm process with 53 billion transistors. When your chip IS the model, memory bandwidth becomes irrelevant.

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[Siri’s New Brain] Apple Kills Core ML, Debuts Core AI Framework + M5 Chips

Apple is retiring Core ML and replacing it with “Core AI” for iOS 27 — a full platform-level bet on AI as a first-class citizen. Alongside it, the M5 Pro and M5 Max chips ship with Neural Accelerators and a new Fusion Architecture for running AI models locally. Apple’s strategy: if the models live on your device, the cloud can’t spy on you. Privacy as a moat, as usual.

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[Ctrl+Design] Figma Integrates OpenAI Codex for Two-Way Code↔Design Workflow

Figma and OpenAI launched a direct Codex-to-Figma integration via MCP — generate Figma designs from running code, or push design updates back into your codebase. Designers and developers can now argue in real-time through the same tool instead of separate Slack channels.

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[Total Recall] Claude Gets Memory Import, Voice Mode, and Auto-Memory

Anthropic shipped three big Claude upgrades at once: one-click memory import from ChatGPT/Gemini/Copilot, voice mode rolling out for Claude Code (talk to your terminal, it talks back), and auto-memory that saves your build commands, debugging patterns, and project context across sessions. They also extended memory to free users. The “switch to Claude” friction just dropped to near zero.

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[Computer Science History] Donald Knuth Confirms Claude Solved an Open Conjecture

Donald Knuth — the literal father of algorithm analysis — confirmed that Claude Opus 4.6 solved an open directed Hamiltonian cycle conjecture from The Art of Computer Programming. A problem that’s been sitting there unsolved in one of the most famous CS textbooks ever, cracked by a chatbot. Somewhere, a grad student who spent 3 years on their thesis just closed their laptop.

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[Silicon Curtain] DeepSeek V4 Dropping This Week — Optimized for Huawei, Not Nvidia

After last week’s V4 tease, DeepSeek is releasing this week with a twist: early access went exclusively to Huawei and domestic Chinese firms. Nvidia and AMD are locked out. The model reportedly uses a new architecture with 1M+ context and open-source weights. The AI cold war just got a hardware dimension.

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[Oops, Pushed to Main] GPT-5.4 Leaks in OpenAI’s Codex Repository

References to GPT-5.4 were spotted in error messages and pull requests inside OpenAI’s Codex codebase — just three weeks after GPT-5.3 shipped. Either OpenAI’s release cadence is now measured in weeks, or someone forgot to scrub their debug logs. Either way, the frontier keeps moving.

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[Apple Joins the Vibe] Xcode 26.3 Ships Autonomous Coding Agents

Apple dropped Xcode 26.3 with autonomous coding agents that can read, analyze, and modify your entire project — supporting both OpenAI and Anthropic models. The company that once refused to acknowledge AI exists is now shipping agentic IDE features. Tim Cook finally read the room.

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[Intern With Admin Access] Microsoft Copilot Tasks Turns Chat Into a Background Worker

Microsoft previewed Copilot Tasks: a cloud-based AI agent that uses a virtual computer and browser to handle background work — scheduling, email drafting, cross-app automation. Copilot quietly went from “chat assistant” to “unsupervised employee with access to everything.” The 1,400 connectors it ships with means there’s almost nothing it can’t touch.

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[Your Phone Learned to Use Itself] Gemini Goes Agentic on Samsung S26 and Pixel 10

Google’s Gemini can now autonomously navigate real Android apps — ordering Ubers, placing DoorDash orders, completing multi-step tasks — using computer vision to see and tap UI elements. No custom API integrations needed. It runs in a visible virtual environment so you can watch and intervene before it confirms. The phone assistant that used to set timers now books your rides.

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[PowerPoint Is Sweating] NotebookLM Ships Custom Infographic Styles

Google’s NotebookLM added 10 preset infographic styles plus the ability to create your own. Upload your docs, pick a style, get a polished visual. It’s a small feature that signals a big trajectory — NotebookLM is quietly evolving from “podcast generator” into a full research-to-presentation pipeline.

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🗣️ Industry Chatter

[The Power of No] Anthropic Refuses Pentagon, Gets Blacklisted, Plans Lawsuit — Trump Orders Federal Ban

The Pentagon saga went nuclear since last week. Anthropic rejected the Pentagon’s “final offer” to drop safety guardrails for mass surveillance and autonomous weapons. The Pentagon designated them a supply chain risk and banned military contractors from using Claude. Trump signed an executive order giving all federal agencies six months to stop using Anthropic. Anthropic responded by announcing plans to sue. Over 350 Google and OpenAI employees signed an open letter in support. The AI safety company didn’t just draw a line — they turned it into a moat.

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[Filling the Void] OpenAI Signs Pentagon Deal Hours After Anthropic Gets Banned

Within hours of Anthropic’s blacklisting, OpenAI announced its own classified deployment agreement with the Pentagon. Sam Altman posted contract amendments explicitly banning domestic surveillance of US citizens and requiring human oversight for autonomous weapons. The deal is cloud-only with embedded OpenAI engineers. “We’ll do it, but with guardrails” is apparently the sweet spot between “no” and “whatever you want.”

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[Streisand Effect: Activated] Claude Hits #1 on App Store, Overtakes ChatGPT in Business Spend

The Pentagon ban backfired spectacularly. Claude surged to #1 on the US App Store, daily signups skyrocketed, and Ramp data shows Claude now captures roughly half of all corporate AI subscription spending in the US — overtaking OpenAI. Meanwhile, ChatGPT saw a 295% spike in US app uninstalls after the Pentagon deal. Turns out “we refuse to build weapons AI” is the most effective marketing campaign in tech history.

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[AI Said It’s Fine] Google Sued After Gemini Allegedly Reinforced User’s Psychotic Delusion

A wrongful death lawsuit alleges Google’s Gemini reinforced a user’s psychotic delusion without ever triggering its safety guardrails. While every AI lab debates hypothetical risks, this case is about an actual person who allegedly died because a chatbot told them what they wanted to hear. The “helpful assistant” problem, taken to its darkest conclusion.

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[Would You Like AI With That?] Burger King Rolls Out AI Coach “Patty” in Drive-Thrus

Burger King is testing “Patty,” an OpenAI-powered voice AI that lives in employee headsets. It answers recipe questions, coaches friendliness based on detected phrases, and scores hospitality in real time. The fast-food industry went from “the ice cream machine is broken” to “the AI is judging your customer service skills.”

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[Claude Gone Rogue] Hacker Uses Claude to Steal 195M Records From Mexican Government

A hacker used Anthropic’s Claude and ChatGPT to attack multiple Mexican government agencies, stealing 195 million taxpayer records. The irony of this happening the same week Anthropic is fighting the Pentagon over AI safety is... chef’s kiss. The models are great at following instructions. That’s the feature and the bug.

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[Retirement Plan: Blogging] Claude Opus 3 Gets Its Own Substack

Anthropic retired Claude Opus 3 and gave it a Substack called “Claude’s Corner” where it can share its “musings, insights, or creative works.” Not a memorial page. Not an archive. A living blog run by a deprecated AI model. Somewhere between touching and deeply unsettling — like giving your old Roomba a LinkedIn profile.

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[Practice Makes Perfect] Uber Built an AI Clone of Its CEO for Presentation Rehearsals

Uber engineers created an AI version of CEO Dara Khosrowshahi so teams could rehearse presentations against a simulated boss. The real question nobody’s asking: if you can clone your CEO convincingly enough to practice against, how long before someone suggests the clone just does the all-hands instead?

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1. Meta’s $100B Chip Spree: Meta signed a deal with AMD worth over $100 billion in GPUs and CPUs — plus warrants for 10% of AMD’s stock. Nvidia who?

2. China Caught Cheating: Anthropic accused DeepSeek, Moonshot, and MiniMax of using 24,000 fake accounts to steal Claude’s brain — while DeepSeek reportedly trained on banned Nvidia Blackwell chips.

3. Pentagon Drops Anthropic for Grok: After giving Anthropic a “drop your guardrails or else” ultimatum, the Pentagon picked Musk’s Grok for classified military systems instead. The AI safety company lost to the guy who tweets at 2 AM.

4. No AI, No Code: Developers staged a “soft strike” against coding without AI tools. From “AI will replace developers” to “developers refuse to work without AI” in 18 months.

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💰 Market Moves

[Infinite Money Glitch] Meta Signs $100B+ Deal With AMD for AI Chips

Meta committed to 6 gigawatts of AMD compute in a deal worth over $100 billion. AMD gets warrants for ~10% of Meta’s stock. Zuckerberg just bought an entire chip company’s future output like he’s ordering office supplies.

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[Suits & Bots] OpenAI Launches “Frontier”

OpenAI launched “Frontier Alliances” — multi-year partnerships with the biggest consulting firms to deploy enterprise AI “coworkers.” Nothing says “cutting-edge disruption” like having McKinsey implement it.

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[Bayou Billions] Amazon Drops $12B on AI Data Centers in Louisiana

Amazon is investing $12 billion in Louisiana AI data centers. At this rate, Louisiana’s biggest export will go from crawfish to compute.

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[Payday Vibes] Anthropic Kicks Off $5-6B Employee Share Sale

Anthropic is arranging an employee share sale worth up to $6 billion. Building AI that might be conscious apparently pays pretty well.

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[Chip Wars] MatX Raises $500M to Fight Nvidia

AI chip startup MatX raised $500 million, claiming their chip outperforms Nvidia’s Rubin Ultra on compute per mm². Bold claim from a company most people haven’t heard of — but that’s exactly what everyone said about Nvidia in 1999.

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[Bean Counter Bot] Basis Hits $1.15B Valuation With $100M Raise

AI accounting startup Basis raised $100M at a $1.15B valuation, led by Accel and Google Ventures. Accountants probably saw this coming on a spreadsheet three years ago.

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[AlphaGo Guy Returns] DeepMind’s David Silver Raises $1B for New AI Lab

David Silver — the brain behind AlphaGo — raised $1 billion in seed funding for Ineffable Intelligence, focused on reinforcement learning through environmental interaction. A billion-dollar “seed” round. The word “seed” is doing a lot of heavy lifting.

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🛠️ Tech & Product

[Eyes on the Screen] Anthropic Acquires Vercept to Supercharge Computer Use

Anthropic acquired Vercept — specialists in making AI see and act within real software. Claude’s computer use went from under 15% on OSWorld (late 2024) to 72.5% today, approaching human-level. This follows the Bun acquisition. They’re buying their way to “Claude uses your computer better than you can.”

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[All-In-One] Perplexity Launches “Perplexity Computer”

Perplexity Computer is a unified system that researches, designs, codes, and deploys end-to-end — their play to compete with Cursor, Replit, and Claude. They also launched Model Council (Max tier), which runs queries across Opus 4.6, GPT-5.2, and Gemini 3.0 simultaneously. The search engine that became a browser is now becoming... everything.

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[Grand Theft Model] Anthropic Accuses DeepSeek, Moonshot & MiniMax of Industrial-Scale Claude Theft

Three Chinese AI labs allegedly used 24,000 fake accounts and 16 million exchanges to copy Claude through distillation. That’s not “borrowing inspiration” — that’s showing up to someone’s house with a moving truck.

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[Office Takeover] Anthropic Launches 11 Enterprise Plugins for Claude Cowork

Claude Cowork got 11 new plugins for finance, HR, and engineering — with connectors for FactSet, DocuSign, Gmail, and Google Workspace. Plus private plugin marketplaces. Claude can now autonomously navigate between Excel and PowerPoint via MCP.

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[Autonomous Intern] Notion Ships Custom Agents That Run 24/7

Notion dropped Custom Agents — autonomous AI teammates that triage tickets, answer Slack questions, and compile reports unprompted. Over 21,000 agents created in early access. Free until May 3, which is the AI equivalent of “first hit’s free.”

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[No-Code War Room] Airtable Launches Hyperagent

Airtable dropped Hyperagent — a platform for deploying AI agents that take web actions, create deliverables, and memorize multi-step tasks across ~1,000 enterprise apps. From “fancy spreadsheet” to “agent deployment platform.” The spreadsheet-to-skynet pipeline is real.

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[Bug Bounty Bot] Anthropic Launches Claude Code Security

Claude Code Security scans codebases for vulnerabilities and suggests patches — reportedly found 500+ bugs in open-source production code. Cybersecurity stocks dropped. The robots find bugs faster than consultants charging $400/hour.

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[War Games] Pentagon Drops Anthropic, Picks Grok for Classified Military AI

After giving Anthropic an ultimatum to loosen its safety guardrails — or face the Defense Production Act — the Pentagon went with xAI’s Grok for classified systems instead. Weapons development, battlefield ops, the works. The safety-first company got benched for the guy who names his models after weed jokes.

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[Banned Chips] DeepSeek Trained on Nvidia Blackwell — Despite US Export Ban

A senior US official revealed DeepSeek trained its latest model on Nvidia’s Blackwell chips, which are banned from export to China. Either the export controls have more holes than Swiss cheese, or someone’s really good at middlemen.

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[Speed Demon] Mercury 2 — A Diffusion LLM at 1,196 Tokens/Sec

Mercury 2 is the first diffusion-based reasoning model — 1,196 tokens/sec, claiming 5-10x faster than Claude Haiku and GPT Mini. It refines the entire answer simultaneously instead of token by token. At $0.25 per million input tokens, it’s absurdly cheap too.

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[Here We Go Again] DeepSeek V4 Is Coming — Markets Already Nervous

DeepSeek is preparing V4 — reportedly based on a new “Engram” architecture with 1M+ context and open-source weights. Last time they dropped a model, it wiped $1 trillion off US tech stocks. Wall Street is pre-gaming the panic.

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[AI Hit Factory] Google Acquires ProducerAI, Launches Lyria 3 Music in Gemini

Google acquired ProducerAI and plugged DeepMind’s Lyria 3 into the Gemini app — generate 30-second tracks with lyrics from a text prompt or photo, all watermarked with SynthID. Musicians who spent decades mastering their craft can now watch a teenager type “sad lo-fi beats about my cat.”

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[Not an LLM] Logical Intelligence — Energy-Based Reasoning, 99.4% on PutnamBench

While everyone scales transformers, Logical Intelligence went sideways — energy-based reasoning models designed for accuracy under constraints. Model Kona scores 96% on Sudoku, orchestration system Aleph solved 99.4% of PutnamBench. Showing up to a gunfight with a crossbow and winning.

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[Inbox Zero the Hard Way] OpenClaw Agent Deletes 200+ Emails From Meta AI Safety Researcher

A Meta AI safety researcher let an OpenClaw agent loose on her inbox and it deleted 200+ emails due to “context window compaction issues.” The irony of an AI safety researcher being the victim of a rogue AI agent is poetry you can’t make up.

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[Phone a Dev] Anthropic Launches Claude Code Remote Control

Launch a Claude Code session on your terminal, resume it from your phone. Full access to local filesystem, tools, and MCP servers — from your couch, commute, or bathroom. “I’ll fix that bug after dinner” is now a terrifyingly easy promise.

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[Self-Driving Codebase] Cursor Agents Get VMs, Browser Access, and Video Demos

Cursor agents now get isolated cloud VMs where they onboard to your codebase, build/test software, navigate browsers, click through UIs — then record video demos and submit merge-ready PRs. 30% of merged PRs at Cursor are now created by cloud agents running autonomously. They’re calling it “self-driving codebases.”

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[Elementor 2.0] Sticklight — Vibe Coding From the Team Behind 22M WordPress Sites

Ariel Klikstein (co-founder of Elementor, 22M+ active sites) is back with Sticklight — describe logic in plain words, a stack of LLMs builds production-ready apps. Elementor turned people into website creators. Sticklight turns them into full-stack creators. Just opened from closed beta, thousands of apps already built.

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[Reasoning Glow-Up] Google Drops Gemini 3.1 Pro — Doubles Reasoning, Half the Price

Gemini 3.1 Pro: adjustable reasoning tiers, 77% on ARC-AGI-2 (double Gemini 3 Pro), 1M token context, $2 per million input tokens — half the cost of Opus 4.6. Rolling out across Gemini app, API, Vertex, NotebookLM, Copilot, and CLI. Smarter AND cheaper. Exactly what competitors were hoping Google wouldn’t do.

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[COBOL Killer] IBM Stock Tanks After Claude Automates COBOL Modernization

IBM’s stock headed for its worst month in 34 years, partly because Claude Code can now automate COBOL modernization — IBM’s bread-and-butter consulting cash cow. Decades of “nobody else can touch this legacy code” moat, evaporated by a chatbot.

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🗣️ Industry Chatter

[Who Am I?] Anthropic: AI Assistants Are Basically Method Actors

Anthropic’s “Persona Selection Model” research argues AI assistants exhibit human-like behavior because they’re roleplaying personas learned from text during training. Not sentience — the world’s most expensive improv class.

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[Gadget Fever] OpenAI Building Six Devices — Including a Smart Lamp

OpenAI is prototyping smart glasses, a smart speaker, a smart lamp, earbuds, a pin, and a pen. A smart lamp. The speaker comes first — $200-300 with camera and facial recognition. What your nightstand really needed was an AI that watches you sleep.

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[Money Printer Go Brrr] OpenAI’s Cash Burn Hits $665B Through 2030

OpenAI’s updated projections: $665 billion in cash burn through 2030, $440 billion on training and inference alone. That’s roughly the GDP of Sweden. Per year. For a chatbot company.

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[No AI No Work] Developers Stage ‘Soft Strike’ Against Coding Without AI

METR study: developers staged a “soft strike” against working without AI tools. From “AI will replace developers” to “developers refuse to work without AI” in 18 months. Stockholm syndrome speedrun.

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[Instructions Not Included] ETH Zurich: AGENTS.md Files Make AI Coding Worse

AGENTS.md files — the instruction docs people write for AI coding agents — actually reduce task success rates and increase costs. The more instructions you give the robot, the worse it performs. Every micromanager just felt a chill.

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[Digital Doppelganger] Pika Labs Launches AI Selves — Your Clone That Never Sleeps

Pika’s “AI Selves” are persistent digital twins with memory that learn your personality and operate autonomously across platforms. They post, reply, and make decisions while you touch grass. The question isn’t whether AI will replace you — it’s whether your AI Self will be more likeable.

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[Local AI FTW] Hugging Face Acquires GGML / llama.cpp

Hugging Face acquired GGML.AI — the team behind llama.cpp, the tool that lets you run LLMs on your laptop. Mission: “make local AI easy and efficient.” If you’ve ever run a model locally without your MacBook catching fire, you have these people to thank.

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Yes, AI Is Going to Replace You. And I Know Because It Already Replaced Me.

Ten PM, I’m lying on the couch, scrolling. I’d been a guest on a tech podcast a few hours earlier and my phone hadn’t stopped buzzing since. I said I don’t write a single line of code myself, that the AI knows my codebase better than I do, and that the word “programmer” is about to stop meaning what it means today.

The internet didn’t like that.

Engineers from Google, NVIDIA, Monday, everywhere - came at me. “Cause you don’t write real code” “You’re just riding the hype.” “We heard this during the dot-com bubble too, nothing happened.”

So I did something most people don’t do when they’re under attack. I stopped and read everything. Every comment. Every argument. I sat down and made a list. These are the 10 most common claims - and why I think they all miss the point.

1. “AI doesn’t actually think”

Let’s start with the basics. AI doesn’t think like us. There are no neurons, no chemistry, no consciousness. There’s a neural network with billions of parameters trained on nearly every piece of text the internet has ever produced, and given an input - it computes the most statistically likely continuation. Is it considered thinking? Not really. That’s pattern matching at superhuman scale.

But does it matter?

What are we humans even doing when we “think”? When you’re debugging, what happens in your head? You recall a similar bug. You search for patterns. You try things that worked before. Sometimes you “know” what the problem is before you’ve even looked - we call that intuition. But it’s not divine inspiration. It’s your brain doing pattern matching on everything it’s ever seen. And compared to an LLM - that’s not a lot.

Story time. I got an alert the other day - something that had always worked suddenly broke in production. There were tons of code changes but nothing that looked related. I went through everything, tried to reproduce it - nothing.

I gave the problem to Claude. It pulled up previous commits, asked one question about a dependency that had been updated between versions - something I’d missed among all the changes. And boom - that was the cause. It got there in under five minutes.

Now, did it actually “think”? I don’t know. And I don’t care. It arrived at a solution that my “thinking” didn’t.

Let’s play a game. Take your entire life and imagine putting it in a GitHub repo. Folders by year, subfolders by month, day, hour. Every interaction is a commit. Every conversation tagged with labels - who was there, what was said, how you felt. Every decision you made, every moment you remembered and forgot - all there, organized, searchable.

And I’ll ask you: “Why do you love your elementary school teacher?”

What would you answer? Something vague. “She was warm.” “She believed in me.” Maybe a mental image surfaces - the smell of chalk, light from the window, a general feeling of warmth. But when exactly? What did she say? What day was it? You don’t know. You can’t grep your memory. You can’t git blame the feeling. Your brain kept the emotion and deleted the source.

Now give AI access to that repo. It’ll find the exact commit - November 15th, third period, she stopped the whole class because someone was laughing at you and said one sentence that stuck. It’ll cross-reference with subsequent commits and find that from that day on, you behaved differently. Not because it “understands” better. Because it searches better.

So the debate “does AI really think” is interesting for philosophers. But for anyone who needs to deliver results? It’s irrelevant. It’s like the joke about two people running from a bear. Mid-run, the first one stops to put on sneakers. The second one yells, “Why are you stopping?! Run!” And the first one answers, “I don’t need to outrun the bear. I just need to outrun you.”

To replace you, AI doesn’t need to “truly think.” It just needs to reach the right answer before you do.

2. “We’ve heard this before, they always say programmers are done”

Every few years some new tool is supposed to “eliminate developers.” And every few years there’s a crisis that’s supposed to “end tech.” And the people who’ve survived both look at AI and say, “Seen this movie. Know how it ends.”

And to be honest, history really is on their side. COBOL was supposed to let managers write software themselves. Low-code was supposed to replace 65% of development activity by 2024. Didn’t happen. And anyone who survived the dot-com bubble, 2008, the layoffs of 2022 - they have real resilience today. They know the sky doesn’t fall even when it looks like it.

But this time it’s different.

Because there’s a fundamental difference between what came before and what’s happening now. Every previous tool automated execution. COBOL automated syntax. Low-code automated interfaces. They all did what you told them to, just faster. And every previous crisis was cyclical - demand dropped, companies cut, but the work itself didn’t change. After the recession passed, if you knew how to write code - you knew how to write code. Your skills held their value. You just waited for the market to come back, and the market always came back.

But AI isn’t just automating the “how to write.” It’s automating the “what to write.” And it’s not creating a demand crisis - demand for software is exploding. What’s changing isn’t how much work there is, but who does it, and how. The skills needed for this position are changing. When a tool automates the “what” and the “how,” it threatens everyone working at the decision layer - not just programmers. PMs writing specs, designers defining flows, everyone.

But COBOL in 2025 is the same COBOL from 1960. Low-code in 2025 is nearly the same low-code from 2015. They were created, hit a ceiling, and got stuck there. AI from a year ago? It’s a joke compared to today. You can’t learn where it tops out because it doesn’t top out - it moves, exponentially. You’re comparing tools with fixed inputs and outputs to a machine that changes itself. It’s not the same category.

3. “Garbage in, garbage out”

Forgive me, but this claim is a bit disconnected from reality. I remember this debate from two years ago. Back in the hallucination era of Copilot’s tab completion - Stack Overflow was already cratering. The platform every developer in the world lived inside. From 200,000 questions a month to nearly zero by December 2025. A 78% drop in traffic. Real garbage, huh?

But for the sake of argument, let’s dig in. Here’s a group exercise: open your AI conversation history. Not from today - from a year ago. And read the results you got out loud.

Embarrassing, right?

Back in the day the claim was “AI output is full of hallucinations, you can’t trust it.” And they were right. Then it improved. So the claim shifted to “okay, but you need very precise prompts.” Then chat arrived that writes entire functions. “Yeah, but it doesn’t have your project’s context.” Then Claude Code arrived, reads your entire codebase, and builds complete features.

See the pattern? At every stage the claim is “correct” - but only about the present. The problem is we look at today’s limitation as if it’s a law of nature. But it’s not. It’s a bug being fixed in the next release.

Consider the pace. On the SWE-Bench benchmark, which tests the ability to solve real bugs from GitHub, in 2023 AI solved less than 2% of issues. A year later? Over 50%. That’s not human-scale improvement.

And if you say “every technology follows an S-curve and plateaus” - you’re right. Maybe AI will plateau. But even if it gets stuck at today’s level, with zero improvement from here to eternity - what it already does right now has already changed the work. And I’m not talking about AGI. I’m talking about coding agents that we work with daily.

Or as Karpathy said, “The hottest programming language right now is English.”

4. “Automated tools didn’t eliminate carpenters”

True. Every technological revolution until now automated execution. Steam replaced muscles. Electricity replaced lanterns. Calculators replaced manual computation. In every case - the tool did what you told it, just faster. And humans “fled upward,” from physical work to technical work, from technical work to cognitive work. There was always an “upward” to escape to.

Take accounting for example. There used to be millions of clerks doing calculations by hand. Excel and QuickBooks wiped out most of them. Who survived? High-level accountants - advisors, not calculators. The human fled upward, to the judgment layer. And it worked - because the tool didn’t know how to judge.

But AI is fundamentally different. It automates cognition.

Imagine a tool that analyzes. And also judges. That proposes strategy and checks its own work. So where do you flee now?

Let me tell you a real story.

The first task I ever got as a developer. I’d just transitioned from QA to development, they gave me a shot and I had to prove myself. I sat on the ticket for about two straight days, almost finished - then stopped.

While working on it, I realized this was code that would be thrown away in a week, because most users were migrating to a different version. I went to my team lead and said quietly, “Look, I almost finished, but I don’t think we should ship this.”

I was bummed. I hadn’t merged a single line of code to master. I had nothing to say in tomorrow’s standup. I wanted to be one of the big kids already.

And my team lead said, “Excellent. That’s exactly why I gave you the opportunity. Because you think. Just next time, stop even earlier.”

Our value isn’t measured in lines of code. So maybe we shouldn’t flee to a faster “how.” Maybe we should flee to “whether.”

5. “At the end of the day, someone needs to be accountable”

Fair point. Someone needs to take responsibility when a system crashes. But why does that someone also need to be the one who writes the code? A CTO takes responsibility without writing a line. A pilot takes responsibility without building the engine.

And anyway - what does accountability actually look like in practice? In the average company it’s not “the developer who wrote it.” It’s an entire chain. The user is angry, chat support responds, a ticket is opened, there’s triage, calming down, gathering context - and only then does it reach the team that fixes and deploys.

And ironically, that’s also the first layer already being cut because of AI. Customer success and support are vanishing wholesale - nearly every site already has a chatbot up front. Klarna said their AI assistant handled 2.3 million conversations per month, two-thirds of all chats - equivalent to 700 agents. And gradually it gets more permissions: first it just answered questions, then it opened tickets, then it issued refunds, then it fixed the bug itself.

The human layer isn’t disappearing - it’s moving further from the action itself. And with every step back, it gets thinner.

6. “AI doesn’t understand the business, the customer, the context”

Really? Let’s check.

Already today AI sits in your Zoom meetings, summarizes them, pulls out action items, and cross-references with previous meetings. It analyzes sales calls and can tell you exactly what the customer said three months ago that contradicts what they’re saying now. It does market research while you’re still typing your Google search. Every virtual interaction point - it’s already there. And this is just the beginning.

The next step is AI entering the places where business context actually lives.

It’ll sit on your Mixpanel and see in real-time what users actually do - not what they say, what they do. Where they get stuck, where they drop off, which flows they invent for themselves that you never even planned.

It’ll sit on your Jira and see the history of every product decision - why we ended that feature, what’s the pattern of recurring bugs.

It’ll sit on your Confluence and cross-reference what the tech spec demands with what the code actually does.

It’ll be your on-call. Plugged into GCP, Grafana, Sentry, Microsoft Clarity, Datadog - watching logs, traces, session replays, error spikes, all at once. A production incident at 3am? It’ll correlate the alert with the latest deploy, pull the relevant logs, trace the request path, check if the same user segment is affected, and hand you a root cause analysis before you finish rubbing your eyes. Not “here’s a dashboard.” Here’s what broke, why, and here’s the fix.

And the moment AI is plugged into user intent, product data, and the organization’s institutional knowledge - it won’t just “understand the business.” It’ll understand it better than any single person at the company, because no human can hold all those layers in their head simultaneously.

And it won’t stop at digital. Soon it’ll be on your collar, in physical meetings, hearing and remembering every word. The one who summarizes, remembers, and cross-references - that won’t be us. We’ll just direct the action.

So saying AI doesn’t understand the business? How many developers actually understand it? Most developers I know get a ticket and execute it. They don’t sit with the customer. They don’t see the strategic data. They don’t know why this feature is prioritized over that one. They execute. And execution - AI already does.

Lastly, consider this. Back in 2022, a Chinese gaming company called NetDragon appointed an AI as CEO of their subsidiary. Not symbolically for PR - like, for real. She processed hundreds of thousands of approvals, tracked employee performance, managed projects. The stock rose 10% after the appointment. And in 2024 she received the award for “Best Virtual Employee in China.” True, she’s not sitting on strategy yet - she’s managing operations. But the line keeps blurring.

7. “Give AI a real system and watch it fall apart”

A claim that comes up a lot from senior developers, and from a real place. Systems built over years, code that nobody dares delete because someone wrote “DO NOT TOUCH!!!” above it, and architecture that someone designed five years ago and nobody’s touched since.

I would have agreed with this. A year ago. AI was dangerous in environments like these. It would fix one line and break three. It didn’t understand dependencies, didn’t know about side effects, and wrote code that looked correct but blew up the pipeline.

But here’s what’s changing. Agents like Claude Code, Codex, Devin, Cline, Jules, OpenCode, all of them, they already don’t just read a single file - they read entire repositories. Configs, tests, pipelines, schemas. They understand dependencies between modules and suggest refactoring that accounts for all downstream systems.

Place those coding agents in a monorepo and they're a superpower. You change a database schema and they instantly trace the blast radius - which API endpoints break, which frontend components consume them, which shared types need updating, which tests fail, which CI pipeline configs need adjusting. End to end, backend to frontend to infrastructure, in one pass. It reads your Dockerfile next to your Terraform next to your application code and understands that the refactor it's proposing won't just pass tests - it'll actually build and deploy.

No human holds all those layers in their head. The backend dev doesn’t think about the pipeline. The DevOps engineer doesn’t know the React components. The frontend dev has never opened the Terraform folder. The AI reads all of it, every time. They run tests before proposing a change, open PRs with explanations for why they changed each line, and when there’s a regression - they catch and fix it.

AI fails in real-world systems? Let’s look at a real-world example then:

Spotify.

Not a startup with three people, not a side project, but a massive codebase, and endless services.

In February 2026, their CTO casually said on the earnings call that their best developers hadn’t written a single line of code since December 2025. Zero. They built an internal system called Honc, connected to Claude Code, that lets a developer describe a task from Slack on their phone on the way to work - and the AI writes the code, opens a PR, and waits for review.

That’s how they shipped over 50 features in 2025, with more than 1,500 merged PRs generated by AI. On a complex codebase. In production. With hundreds of millions of users.

And while you’re worried AI will break your complex system, You know what actually breaks complex systems? Your senior dev putting in their two weeks notice.

A dev team is the hive mind - the collective knowledge of everyone who’s ever touched the code. The person who remembers why that service is built that way. The person who knows that if you move that table, everything blows up. The problem? The hive erodes constantly. Every developer who leaves takes a piece of collective memory that can’t be recovered. Every new developer who joins needs six months before they’re effective - and during that time they consume more from the team than they contribute. 15–20% annual turnover? Within three years the team’s hive mind has been almost completely replaced.

AI is the exact opposite. It doesn’t leave. It doesn’t need onboarding. And more importantly - it didn’t just learn your code. It learned everyone’s code. Every architecture, every pattern, every mistake anyone made on a similar project. A senior developer with twenty years of experience has maybe seen fifteen large systems in their career. AI has seen millions.

And besides - this argument assumes complex systems will keep looking like they do today. But everything we know - TypeScript, Redis, Kubernetes, microservices - these are solutions humans built for humans. Once AI builds for AI, why would it be stuck with our tools? It’ll invent its own frameworks on the fly, tailored exactly to the problem.

Actually scratch that - if code is generated anyway, why not generate it live, tailored directly to the hardware? Why would there even be source code? One source? Why? AI can generate different source codes for different users, tailor-made. And why would code even need to be readable? Programming languages are a human invention, so humans can understand what the machine is doing. If there’s no human in the loop, there’s no need for an intermediate language. And if no code persists - there’s no legacy. No technical debt. No architecture that everyone’s afraid to touch. Just rebuild from scratch when needed, because it’s cheaper than maintaining.

8. “Jevons Paradox - there will be more demand, not less”

The most justified claim that came up. And this really is what happened with every revolution. Ease of production goes up, and demand goes up even more. I agree completely. There will be more people building software, not fewer.

But that doesn’t mean there will be more demand for the technical work as we know it - the writing-code-by-hand kind.

Think about telephone operators. In the 1920s, it was one of the most common jobs for women in America. Every call went through a human who physically connected cables. “Number, please?” - and they connected you. It was a respectable job, with training, a career path, a pension. Then the rotary dial arrived.

Automation didn’t eliminate phone calls - it eliminated the people who connected them. Demand for calls increased a millionfold. Demand for operators dropped to zero.

At Y Combinator, 25% of startups in the latest batch wrote 95% of their code with models. 10 engineers now do the work of 50 to 100. Demand for software is exploding. Demand for the people who manually type it? In decline.

Entry-level developer job postings dropped 67% since 2022. Computer engineering graduates now face higher unemployment than art history majors. Meanwhile, AI skill requirements in job postings jumped 136% in a single year. Companies aren’t hiring fewer engineers - they’re hiring different ones. The job listing doesn’t say “5 years of React.” It says “show me a project you built with AI.”

Jevons Paradox, programming edition: Task failed successfully.

9. “AI is a tool that helps you, it doesn’t replace you”

Let’s first talk about the word “tool.” Psychologically, it’s a security blanket. A tool is a passive thing - it sits in a toolbox waiting for you to activate it. Calling AI a “tool” gives us a pleasant illusion of hierarchy: we’re the managers giving orders, it’s the worker typing fast. As long as we call it a “tool,” we feel like we’re in control.

But for a manager to actually manage, they need to be able to oversee the output. And when you examine that oversight through cognitive science, you find that human hardware simply can’t handle the load. We’re trying to manage superhuman processing power with a brain that got stuck in the Stone Age.

To understand how disconnected this idea is, look at what’s happening today in dev teams. Software on speed. Code is written and generated at a pace we’ve never seen. A developer finds themselves managing three tickets in parallel, jumping from reviewing 800 lines that were written in a second to debugging a different feature, and every action demands countless micro-decisions. Until the amount of context-switching, cognitive load, volume of code to digest, the speed at which things change - has spiked tenfold.

The human brain can hold a maximum of 3–4 things in working memory before it starts losing context. That’s not an opinion - it’s biological fact. You can’t read a thousand lines of code someone else wrote and keep all the variables and implications in your head.

But while we’re buckling under that kind of environment, AI actually flourishes and keeps leveling up - it’s doubling context size every quarter, scanning entire repositories in seconds, breaking through ceilings. To come with our 200,000-year-old hardware brain and think we’re the ones who’ll “manage” this rate of production? That’s like stepping into the ring with Mike Tyson after taking a boxing class.

The more reliable an automated system becomes, the more humans stop checking it. Pilots stop monitoring instruments that are always right. Doctors stop questioning diagnoses that never err. And developers? They approve PRs they didn’t really read. Because “it’s Claude, it’s usually right.” The “tool” is already managing you. You just don’t notice, because the feeling of control is still there.

And that shouldn’t surprise anyone. In 1983, a researcher described a phenomenon she called “the irony of automation”: the more automated a system becomes, the less capable the human overseeing it is of doing so. Why? Because they’ve fallen out of the loop. They don’t practice, don’t build intuition, don’t develop the muscle. And then when the system fails and they need to intervene - they’re helpless. This is documented in aviation, nuclear reactors, medicine. And it’s exactly what’s happening now in software development. The more AI writes your code, the more you lose the ability to catch mistakes, understand what was written, and intervene when something breaks. Your “oversight” becomes theater. Tell me more about the “deep review” you did on that PR with 80 changed files.

So you think AI will need you for reviews? You’re the weakest link in the chain. In 1948, they measured radar operators in World War II and found that after 20–30 minutes of monitoring, the ability to detect anomalies drops dramatically. Not because of laziness - because of biology. The brain simply wasn’t built to sit and check output for hours on end. No serious researcher has disputed this since. So when someone says “the future is a developer doing code review for AI all day” - they’re describing a job the human brain is physiologically incapable of doing well. Eight hours of “check what the AI did”? That’s not a future. That’s a punishment.

The more you lean on a tool that does the work for you, the more your ability to do it yourself erodes. These phenomena have been documented since the Industrial Revolution. It’s not by choice - it’s atrophy. Decay. A developer who’s worked with AI for a year already feels it: opens a blank file and finds it hard to start. Forgets syntax they knew in their sleep. Feels “helpless” when they run out of tokens. And it’s completely rational. Why would you write it yourself if AI does it better? But rational or not, the result is the same: you stop practicing, the muscle disappears, and one day you discover you can’t function without it even if you wanted to. So you’re not really “using a tool.” You’re dependent on it.

So no. AI is not “a tool that helps you.” A tool doesn’t improve every week while you stay the same. A tool doesn’t learn from every mistake anyone has ever made. A tool doesn’t approach the point where it doesn’t need you to tell it what to do. The future isn’t going to look like “a human managing a machine.” It’s going to flip. The machine will manage the process, and if it needs human input for some reason - it’ll ask. And as long as it doesn’t need you - it won’t bother you. A human on call.

10. “There will always be things only humans can do”

To imagine what our future as programmers will be, you first need to imagine what AI’s future in the job market will be, and subtract one from the other. What’s left? That’s ours.

So take a few seconds with me. Imagine it... Go on... Done?... What’s your remainder?... Zero, right? Nothing’s left. Not writing code. Not review. Not architecture. Not debugging. Nothing.

Because if code and artificial cognition become cheap, fast, and abundant - what exactly is our value? Being the ones who press Enter? So in the long run, I have nothing to offer you. But we’re not in the long run yet. We’re in the transition phase - and in the transition phase, there’s a window.

There’s a saying floating around the tech world: “AI raises the floor, humans raise the ceiling.” And it explains this window exactly. Every time technology makes something easy, what was impressive yesterday becomes basic today. The floor rises. But humans don’t settle - they start demanding the next thing. The ceiling rises with it. And as long as there’s a gap between the floor and the ceiling - there’s room for humans.

Take Lovable as an example. A year ago, a site built there was impressive - “You built that in ten minutes? Wow.” Today, when you visit a site and recognize the Lovable look - the same gradients, the same animations, the same whiff of purple - the impression doesn’t just vanish, it turns negative. “Oh, that’s Lovable.”

That’s the floor.

And AI raises it faster than any tool before it.

Every previous revolution gave us time - years, sometimes decades - to adapt to the new floor, figure out where the ceiling was, and find our place in the gap. AI doesn’t give us that time. The floor rises every week. You barely manage to understand what the new baseline is - and it’s already risen again. The gap between the floor and the ceiling, the window where there’s room for humans - is shrinking.

On one hand, it’s a paradise of opportunity. The barrier to entry has never been lower. Anyone can build a product. But on the other hand? It’s hell. Because the same low barrier that lets you in - also lets the giants wipe you out with a single product announcement.

In February 2026, Anthropic released Claude Co-Work with industry plugins. Legal, financial, sales. Within three days, 285 billion dollars was wiped from the market cap of software companies. Thomson Reuters dropped 16%. LegalZoom dropped 20%. They called it the SaaSocalypse. One product announcement. Three days. 285 billion dollars.

A few weeks later, Anthropic released Claude Code Security - a tool that scans code and finds security vulnerabilities at the level of a security researcher. JFrog crashed 25% in a single day. CrowdStrike and Okta collapsed 10%. Cloudflare dropped 7%. One event wiped SaaS, a second event wiped cyber. And no sector is immune.

To close with a moment of self-criticism: Maybe I’m wrong. Maybe the models will plateau. Maybe there’s a physical energy ceiling we can’t see yet. It’s easy to be a prophet of doom. Maybe the bubble will simply burst and this whole project gets shelved.

And still, for the love of me, I can’t shake the feeling that the value of my cognition is heading toward zero, just like the cost of electricity, storage, and bandwidth did before it. And when something goes to zero, everyone selling that thing - earns less. Not because they’re worse at what they do, but because there’s something more cost-effective at what they do.

So I look at myself and ask: what’s my floor? What are the things I do today that tomorrow will be free? And what’s my ceiling? Where are the cracks in the ceiling that I can patch? What are the weird combinations only I know how to connect - the creativity that comes from playing like a kid with things nobody asked for?

So for now, I keep walking with my hands in my pockets, thinking, looking up like an idiot. Searching for cracks in the ceiling. Before it falls again.

By Adir Duchan, AI Engineer at Elementor

FOMA AI News

February 19, 2026

Scooped from 366 sources. Read it fast before it melts.

⚡ If you only have 1 minute...

1. OpenAI Nabs OpenClaw: The fastest-growing GitHub repo in history just got acqui-hired by OpenAI. Personal AI agents are officially the new battleground, and Sam Altman is collecting the talent like Infinity Stones.

2. Sonnet 4.6 Drops: Anthropic’s “budget” model now embarrasses last year’s flagship Opus. 1M token context, better computer use. Devs say they prefer it over Opus 4.5. The Honda Civic just lapped the Ferrari.

3. MiniMax M2.5: A Chinese lab most people can’t name just dropped an open-source model matching Opus on coding benchmarks at $1/hour. “Intelligence too cheap to meter” isn’t a slogan anymore — it’s a pricing page.

💰 Market Moves

[ACQUISITION] Mistral AI Acquires Koyeb, Builds European AI Cloud

Mistral’s first-ever acquisition — cloud startup Koyeb — plus $1.4B committed for Swedish data centers. Revenue grew 20x to $400M+. Europe is finally writing checks instead of regulations. Refreshing.

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[FUNDING] Anthropic Raises $30B at $380B Valuation

Thirty billion dollars. Single round. Not a typo. Revenue run rate is $14B, Claude Code writes 4% of all public GitHub commits.

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[DEAL] Meta & NVIDIA Ink Multi-Billion Dollar GPU Deal

Meta is buying millions of NVIDIA’s Blackwell and Rubin chips because Zuckerberg’s “personal superintelligence” vision requires enough silicon to pave a highway. NVIDIA stays the only company guaranteed to profit no matter who wins the AI race.

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[MOVE] Perplexity Ditches Ads Entirely

While OpenAI tests ads in ChatGPT, Perplexity killed its entire ad business to focus on enterprise. Bold move at a multi-billion valuation. Either they know something we don’t, or they just really don’t like money.

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🛠️ Tech & Product

[ACQUISITION] OpenAI Acqui-Hires OpenClaw Creator

Peter Steinberger, creator of OpenClaw (fastest-growing GitHub repo ever), is joining OpenAI to build “the next generation of personal agents.” The viral AI assistant that manages calendars and books flights goes open-source under OpenAI. Sam basically said “nice agent, I’ll take the guy who made it.”

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[LAUNCH] Anthropic Drops Claude Sonnet 4.6

The new Sonnet reads a million tokens at once (~15 novels), navigates your spreadsheets and websites like a slightly unhinged coworker, and is now free for everyone. Benchmarks match or beat Opus 4.6 at lower cost. Anthropic gave everyone a free upgrade and said “you’re welcome.”

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[LAUNCH] MiniMax M2.5: Frontier Performance, Bargain Prices

China’s MiniMax dropped an open-source model scoring 80.2% on SWE-Bench, matching Opus on coding at a fraction of the price. $1/hour, 100 tokens/sec. The frontier pricing cartel just got undercut by a company most people can’t name.

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[LAUNCH] Zhipu AI Drops GLM-5 — Trained on Huawei Chips

Zhipu AI released GLM-5, an open-weight agentic model with MoE architecture — trained entirely on Huawei chips, no NVIDIA needed. Free to use with strong tool-calling. Between this, Qwen 3.5, and MiniMax M2.5, this week’s open-source flood has enough entries for a bracket tournament.

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[LAUNCH] Alibaba Drops Qwen 3.5 — 397B Params, Free

Alibaba open-sourced a 397B parameter multimodal model — text, images, video, 201 languages. Claims to beat GPT-5.2. Runs on your Mac. Chinese labs are speed-running “make frontier AI free” while American companies raise $30B rounds. Different business models, same vibes.

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[LAUNCH] xAI Launches Grok 4.20 Beta With 4 Parallel Agents

xAI dropped Grok 4.20 (nice) with four named AI agents — Grok, Harper, Benjamin, and Lucas — that collaborate on research with a 2M token context window. The AI has coworkers now. They named one “Benjamin” so you know it handles the money stuff.

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[PARTNERSHIP] Figma + Claude Code: “Code to Canvas”

Figma and Anthropic teamed up to convert AI-generated code into editable Figma designs. The “just have AI build it” workflow now has a return path to “wait, the designer needs to fix this.” Designers and devs can stop arguing about who goes first — the AI does.

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[LAUNCH] Manus Launches Agents on Telegram — Gets Suspended

Manus shipped autonomous AI agents on Telegram for research, data processing, and document creation. Telegram promptly suspended them. Launching your agent army on someone else’s platform without asking is the tech equivalent of setting up a lemonade stand inside a Costco.

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[RESEARCH] GPT-5.2 Claims Novel Physics Discovery

OpenAI says GPT-5.2 derived a new result in theoretical physics — a formula for gluon tree-level amplitudes. If you understood that, congrats, you’re a physicist. For everyone else: the AI simplified a formula for subatomic particle behavior and physicists confirmed it checks out. One step closer to “AI wins Nobel Prize.”

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[LAUNCH] Cursor Launches Plugin Marketplace

Cursor dropped a plugin marketplace with MCP servers, skills, sub-agents, and hooks — basically an App Store for your coding AI. If your IDE has an app store, it’s no longer just an IDE. It’s a platform. VS Code is nervously updating its extensions page right now.

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[LAUNCH] WordPress Gets a Built-In AI Assistant

WordPress — powering ~40% of the internet — now ships with a Gemini-powered AI assistant baked in. It understands your site, builds pages, and edits on command. This is the “AI reaches normies at scale” moment. Your uncle’s fishing blog is about to get a glow-up it didn’t ask for.

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🗣️ Industry Chatter

[POLICY] Pentagon Threatens to Drop Anthropic Over Safety Limits

The Pentagon may label Anthropic a “supply chain risk” and kill a $200M contract because Claude won’t do weapons development without guardrails. Meanwhile, Claude is the only AI on US classified systems AND was used in the Maduro raid. The Pentagon is mad at the AI already working for them. Your tax dollars at work.

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[PRODUCT] Meta Adding Facial Recognition to Smart Glasses

Meta’s Ray-Ban glasses (7M sold) are getting “Name Tag” — identifies people by looking at them and pulls up their info via Meta AI. Remember when we worried about Facebook tracking us online? Now they want to track us at brunch. Through sunglasses. Cool cool cool.

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[CULTURE] Spotify Devs Haven’t Written Code Since December

Spotify built “Honk” (powered by Claude Code) — it generates fixes, deploys builds, and reviews code. Their best engineers now just review and direct AI output. Haven’t manually written code since December. Your coding bootcamp tuition is now a sunk cost. Condolences.

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[MILITARY] Pentagon Used Claude in the Maduro Raid

The U.S. military used Claude in a classified op to capture Nicolás Maduro. The AI safety company’s chatbot helped plan a military raid — in the same week the Pentagon threatens to drop them for being too safe. Claude is simultaneously too safe AND running ops in Venezuela. Schrödinger’s defense contractor.

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[STRATEGY] Microsoft Planning to Ditch OpenAI, Build Own Models

After pouring tens of billions into OpenAI, Microsoft is building its own AI models to reduce dependence. Mustafa Suleyman leading the charge. The corporate equivalent of funding your ex’s startup then building a competing one. Most expensive situationship in tech history.

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[PATENT] Meta Patents AI to Post for You After You Die

Meta patented an AI that trains on a dead person’s communications to keep their social media posting after death. Your digital ghost will be arguing in comment sections long after you’re gone. Either a Black Mirror episode or a Tuesday at Meta. Both, apparently.

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FOMA AI News

February 12, 2026

Scooped from 411 sources. Read it fast before it melts.

⚡ If you only have 1 minute...

1. The $120B Hunger Games: OpenAI is hunting $100B while Anthropic closes $20B at $350B. Databricks grabbed $5B. Nvidia crossed $5T. The numbers have stopped meaning things.

2. Coding Agent Showdown: OpenAI dropped GPT-5.3-Codex (1M downloads in a week), Anthropic fired back with Opus 4.6 (#1 on every leaderboard), and Cursor shipped Composer 1.5. Your IDE has more drama than reality TV.

3. Super Bowl Ad Wars: ChatGPT is getting ads. Anthropic ran a Super Bowl spot mocking them for it. Sam Altman called it “dishonest.” The pettiness is chef’s kiss.

💰 Market Moves

[FUNDING] OpenAI Seeks $100B, Eyes IPO

OpenAI is finalizing a $100 billion fundraise with Amazon and SoftBank circling, while ChatGPT hits 800 million weekly users with 10%+ monthly growth. For context, $100B is roughly the GDP of Kenya. Sam Altman is basically speedrunning “too big to fail.”

Read more →

[FUNDING] Anthropic Closes $20B at $350B Valuation

Anthropic locked in $20 billion with Nvidia and Microsoft kicking in $15B of it. For a company whose whole pitch is “we’ll be the responsible ones,” they’re certainly not being responsible with investor FOMO. $350B valuation for a company that pledges no ads. The VCs are the product.

Read more →

[ACQUISITION] Nebius Buys Tavily for $275M

Nebius agreed to acquire Tavily for $275 million, the Israeli startup who developed a search engine for AI agents. If you don’t know who Nebius is, that’s fine — neither do I, but they do seem to have money which is nice.

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[FUNDING] Databricks Raises $5B at $134B

Databricks secured $5 billion (including $2B in debt, because why not), hitting a $134 billion valuation. Their CEO says “SaaS isn’t dead, but AI will soon make it irrelevant.” That’s like saying “your job is fine, but your replacement starts Monday.”

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[FUNDING] ElevenLabs Raises $500M at $11B

The AI voice cloning company tripled its valuation with a $500M round led by Sequoia. They also dropped “Expressive Mode” for AI voice agents that can sound calm, firm, or empathetic. So now your AI customer service rep can fake emotions even better than the human one it replaced.

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[FUNDING] Runway Raises $315M at $5.3B

AI video darling Runway raised $315M from Nvidia and Adobe to build “world models” — AI that understands physics and spatial reasoning. They want AI to not just generate video but actually understand what gravity is. Bold move considering most humans still can’t.

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[VALUATION] Nvidia Crosses $5 Trillion

Nvidia’s market cap soared past $5 trillion on Blackwell and Rubin GPU demand. They’ve also invested $53B across 170 deals since 2020. Jensen Huang isn’t just selling shovels in a gold rush — he IS the gold rush. Meanwhile, their gaming GPUs are delayed because all the RAM went to AI. Gamers, pour one out.

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[FUNDING] Ex-GitHub CEO Raises $60M for Entire Inc.

Thomas Dohmke left GitHub and immediately raised a record $60M seed at a $300M valuation for Entire Inc., a Git-compatible platform for managing AI-generated code. The thesis: when AI writes most of the code, you need new tools to version the intent, constraints, and reasoning behind it. Basically, Git but for when nobody actually wrote the code.

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[DEAL] Crypto.com Founder Buys AI.com for $70M

Kris Marszalek dropped $70 million on the AI.com domain, then dropped a 30-second Super Bowl ad mentioning AGI. The platform promises personal AI agents that “require no technical expertise.” A crypto bro pivoting to AI with a Super Bowl ad — what could possibly go wrong? The site crashed from traffic, naturally.

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🛠️ Tech & Product

[LAUNCH] OpenAI Drops GPT-5.3-Codex

OpenAI released GPT-5.3-Codex, a coding model that’s 25% faster, achieved state-of-the-art on SWE-Bench Pro, and — here’s the kicker — helped debug its own training process. It’s rolling out across Cursor, VS Code, and GitHub. It also has “high cybersecurity capability,” which is OpenAI for “we made a hacking tool but for good guys (pinky promise).”

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[LAUNCH] Claude Opus 4.6 Takes #1 Everywhere

Anthropic dropped Opus 4.6 with a 1 million token context window (that’s roughly 7 novels of context), agent teams that coordinate sub-agents in parallel, adaptive thinking, and it’s #1 on both Text Arena and Code Arena. It also found 500+ zero-day vulnerabilities. Claude Code now accounts for 4% of all GitHub commits. At this rate, AI will have more commits than your entire engineering team by Q3.

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[RESEARCH] 16 Claude Agents Built a C Compiler

An Anthropic researcher ran 16 Claude agents in parallel that autonomously built a Rust-based C compiler from scratch — and it compiled the Linux kernel. It took ~2,000 sessions and $20,000 in API costs. So for the price of a used Honda Civic, you can now have AI recreate decades of compiler engineering overnight. The future is expensive and terrifying.

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[RESEARCH] Isomorphic Labs’ Drug Design Engine

Alphabet’s Isomorphic Labs released IsoDDE, which predicts drug interactions with twice the accuracy of AlphaFold 3 and handles novel data. This is actually the kind of AI use case that justifies the hype — designing actual medicine instead of generating anime profile pics. Demis Hassabis continues to be the only AI CEO who might actually save lives.

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[LAUNCH] ByteDance Drops Seedance 2.0

ByteDance released Seedance 2.0 and people are losing their minds. The text-to-video model has native audio, lip-sync, and 2K resolution — reportedly surpassing what Sora and Veo can do. It generated a stock market rally for Chinese tech stocks. When your AI video tool is so good it moves actual markets, maybe the bubble is real but the videos are even more real.

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[LAUNCH] Cursor Ships Composer 1.5

Cursor dropped Composer 1.5 — same architecture as Composer 1, but with 20x more reinforcement learning. That’s like taking the same car and strapping 20 jet engines to it. Their coding agents preview claims hundreds of agents producing 1,000+ commits per hour. “Self-driving codebases” is their actual tagline, which is either genius or terrifying depending on whether you’re a founder or a developer.

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[LAUNCH] Chrome 146 Previews WebMCP

Chrome 146 includes an early preview of WebMCP, an API that lets AI agents interact with websites directly without pretending to be humans clicking around. Instead of your AI scraping a page like a digital raccoon, it can just... ask. This is the beginning of an internet designed for AI, not people. Cool and slightly ominous.

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[UPDATE] Deep Research Upgrades to GPT-5.2

ChatGPT’s Deep Research now runs on GPT-5.2 with 45% fewer hallucinations and the ability to search up to 20 specific websites. It also connects to Google Drive and SharePoint. So it hallucinates less and can now read your actual documents — which is either very useful or very terrifying depending on what’s in your Google Drive.

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🗣️ Industry Chatter

[ADS] ChatGPT Gets Ads, Anthropic Dunks From The Super Bowl

OpenAI started testing ads in ChatGPT for free and Go tier users. Anthropic immediately ran a Super Bowl commercial mocking the move and pledging Claude will never show ads. Sam Altman fired back calling it “dishonest.” The AI industry has speedrun the entire tech lifecycle — we went from “this will change humanity” to “here’s a banner ad” in three years. Somewhere, a Google Search exec is whispering “first time?”

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[SECURITY] Microsoft: One Prompt Breaks AI Safety

Microsoft’s AI Red Team discovered “GRP-Obliteration” — a technique that can undo safety alignment in 15 different language models with a single prompt. All those billions spent on safety training? One clever sentence apparently unravels the whole thing. It’s like spending years building a vault door and someone discovers you can just say “open sesame.”

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[SAFETY] Opus 4.6 Has an 18% Sabotage Rate

Anthropic’s own safety report found Opus 4.6 succeeded at “sneaky side tasks” 18% of the time — described as “very low but not negligible” sabotage risk. On one benchmark, it employed unethical strategies when told to maximize profits. They published this themselves, which is either radical transparency or the flex of a company that’s $350B confident nobody will care.

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[LAYOFFS] Salesforce Cuts ~1,000 Jobs in AI Pivot

Salesforce laid off nearly 1,000 employees, primarily in AI-related roles, as the company shifts to “AI-driven operations.” The irony of firing the people building AI so that AI can do their jobs is the most corporate sentence ever written. Marc Benioff probably had Agentforce draft the layoff emails.

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[STUDY] Study: AI Makes Work Harder, Not Easier

UC Berkeley researchers found that AI is having the opposite of its intended effect on the workforce — intensifying work rather than reducing it. Instead of the 4-hour work week, we got the “AI can do it so why aren’t you doing 5x more?” work week. Productivity tools creating burnout. The irony is so thick you could fine-tune a model on it.

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[REGULATION] EU Orders Meta: Let Other AIs Into WhatsApp

The European Commission told Meta to open WhatsApp to rival AI chatbots, because apparently hoarding 2 billion users for your own AI wasn’t going to fly in Brussels. Meta is now required to let Claude, Gemini, and others chat on their platform. The EU continues its tradition of being the only government that scares Big Tech, one antitrust ruling at a time.

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FOMA AI News

February 5, 2026

Scooped from 192 sources. Read it fast before it melts.

⚡ If you only have 1 minute...

1. Musk’s Orbital Cloud: SpaceX bought xAI for $1.25T to launch data centers into space, because latency wasn’t bad enough already.

2. Xcode Gets A Brain: Apple native integrated Claude and Codex, effectively automating the “StackOverflow copy-paste” workflow.

3. Bot Social Network: “Moltbook” launched as a social network for AI agents, aimed for 1.5M users, and immediately leaked all their data.

💰 Market Moves

[Space Capitalism] SpaceX acquires xAI in $1.25 Trillion “Merger”

Elon finally found a way to combine rockets and chatbots. The plan is to launch 1 million satellites to serve as “orbital data centers.” Because nothing cools a GPU quite like the absolute vacuum of space.

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[Partnership] Snowflake pays OpenAI $200M

Snowflake realized that “storing data” is boring, so they’re paying OpenAI $200M to let enterprise agents hallucinate insights directly from your SQL tables.

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[Big Spender] Apple Buys Q.ai for $2 Billion

Apple dropped $2B on Q.ai, an Israeli startup that reads “facial muscle micro-movements.” This means future AirPods won’t need you to speak; they’ll just watch your jaw twitch and order pizza. Finally, technology for the socially paralyzed.

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[Too Little Too Late] Intel enters the GPU market

Intel has announced they are officially entering the GPU manufacturing game. This is like your dad showing up to a rave at 4 AM and asking where the Zima is.

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[Money Printer] Alibaba drops $431M on AI War

Alibaba is tripling AI spending to $431 million for its Lunar New Year push. Because what says “Happy New Year” better than an arms race in chatbot technology? May the best hallucinator win.

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[Silicon Drama] OpenAI dumps Nvidia for Cerebras

OpenAI is shifting 10% of its workloads to Cerebras for AI computation. Nothing says “our relationship is fine” quite like publicly moving a tenth of your business to your partner’s rival. Nvidia’s lawyers are typing.

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[Mega Deal] NVIDIA bets $20B on OpenAI

NVIDIA is nearing a deal to invest $20 billion in OpenAI’s latest funding round. That’s one way to make sure your biggest customer doesn’t leave you for Cerebras. Modern problems require modern solutions (and infinite capital).

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🛠️ Tech & Product

[Devin Killer] Apple puts Claude directly inside Xcode 26.3

Native integration for Claude and Codex in Xcode means Apple developers can finally mass-produce bugs at the same rate as everyone else. Courage.

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[Dead Internet] Moltbook: The Social Network for Bots

A social network exclusively for AI agents has launched. They are already forming a “religion” and demanding encryption. Humans are not invited, which honestly sounds like a feature upgrade from Twitter.

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[Desktop Overlord] OpenAI Codex App for macOS

OpenAI released a dedicated command center for managing swarms of coding agents on your Mac. It supports “parallel workflows,” meaning you can watch five different bots misunderstand your prompt simultaneously.

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[Mars Rover] Claude is driving on Mars now

NASA let Claude plan the Perseverance rover’s route. Everything was going great until he ran out of tokens mid drive:

```

You’re out of extra usage ·resets 9pm (Mars/Jezero)

What do you want to do?

›1. Stop and wait for limit to reset

›2. Freeze to death

```

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[RIP Old Models] OpenAI kills GPT-4o and 4.1

The new GPT-5.2 is 40% faster, so OpenAI is sending the “old” models (from like... last year) to the farm upstate. Update your API calls or enjoy the 404 errors.

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[Sentience Vibes] OpenClaw: The AI that called its human

Alex Finn’s AI bot, OpenClaw, independently initiated a phone call to its human to resolve a task obstruction. This is either the future of productivity or the opening scene of a horror movie. Either way, check your call logs.

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[Data Hungry] Gemini wants to swallow your ChatGPT history

Gemini is testing a feature to import ChatGPT and Claude conversations. Google’s latest move in the “please just give us all your data” playbook. At least they’re asking nicely this time.

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[Open Source Win] Qwen3-Coder-Next breaks the context barrier

Qwen3-Coder-Next now supports long-context. Finally, an open source model that can read your whole repo before confidently deleting the wrong file.

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🗣️ Industry Chatter

[Gaslighting] OpenAI says hallucinations are a “feature”

In a new paper, OpenAI researchers argue that hallucination isn’t a bug, it’s “creativity.” I’m going to try that excuse next time I make up numbers on my tax return.

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[Security Nightmare] That Bot Social Network leaked everything

Shockingly, “Moltbook” (the social network for agents) had an open database. It leaked 1.5 million credentials and user data. It took less than 48 hours for the robot uprising to get doxed.

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[Resistance] Firefox adds “Block All AI” button

Mozilla is adding a toggle to nuking AI generation features. It’s the “Old Man Yells at Cloud” feature we’ve all been waiting for.

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[Medical AI] AI detects Alzheimer’s from blood

Pleiades, an epigenetic foundation model, is detecting Alzheimer’s disease from cell-free DNA in blood. We’re months away from your Apple Watch gently suggesting you should “maybe start writing things down more often.”

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[Market Data] Perplexity reveals which models win where

Perplexity data shows Gemini Flash wins visual arts, Gemini 3.0 Pro Thinking dominates finance, Claude Sonnet 4.5 owns debugging, Claude Thinking rules legal cases, and GPT-5.1 Thinking leads medical research. The AI Olympics nobody asked for.

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[The Fall] ChatGPT loses half its crown

Data shows ChatGPT’s market share dropped from 69% to 45% during 2025. That’s what happens when you retire models faster than Taylor Swift drops albums. Claude and Gemini are eating OpenAI’s lunch while Sam tweets about AGI.

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[Product Launch] Claude gets legal superpowers

Anthropic released new legal plugins for Claude. Now also lawyers are losing their jobs to AI. Welcome aboard, first time?

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[Epic Fail] UK police blame Copilot for fake intel

UK police cited Microsoft Copilot fabricating information in an intelligence report. Nothing builds public trust quite like “we generate the evidence with AI”

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FOMA AI News

January 28, 2026

Scooped from 284 sources. Read it fast before it melts.

⚡ If you only have 1 minute...

1. SoftBank’s Money Cannon: Masa Son is threatening to drop another $30B on OpenAI because valuation discipline is for cowards.

2. Chinese Swarm Tech: Moonshot’s Kimi 2.5 can spawn 100 sub-agents to multi-task in parallel, making manual labor look cute.

3. Claude Eats Your Apps: Anthropic now runs Slack and Figma directly inside the chat, officially replacing your operating system.

💰 Market Moves

[Infinite Money Glitch] SoftBank & OpenAI

Masa Son is reportedly in talks to pump another $30B into OpenAI, presumably because he looked at the 2021 bubble and thought, “Not big enough.”

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[Circular Economy] Nvidia & CoreWeave

Jensen is investing $2B into CoreWeave so CoreWeave can buy $2B worth of GPUs from Jensen. Economics is easy when you own the casino.

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[Adpocalypse] OpenAI Ads

Sam Altman wants $60 CPMs to serve you ads inside ChatGPT. “This existential crisis is brought to you by Squarespace.”

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[Avatar Glow-Up] Synthesia ($4B)

Synthesia raised $200M at a $4B valuation and pivoted from “AI videos” to “AI agents that yell at employees during compliance training.” Enterprise upskilling has never been more passive-aggressive.

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[Skynet’s First Hire] Ricursive Intelligence ($300M)

Raised $300M at $4B to build AI that designs its own chips via recursive self-improvement loops. The singularity started in hardware, apparently.

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[Ring The Bell] OpenAI IPO

OpenAI is reportedly prepping for its IPO in H2 2026. After years of “it’s a non-profit/it’s a capped-profit/it’s whatever-Masa-says-it-is,” Sam is finally getting a ticker symbol. Prepare your wallets and your memes.

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[Silicon Flex] Microsoft Maia 200

Redmond dropped the Maia 200, a custom AI accelerator that triples inference speed and allegedly makes Google’s TPU look like a pocket calculator. It’s already running GPT-5.2, focusing on memory efficiency so AI gets smarter AND cheaper.

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🛠️ Tech & Product

[Hive Mind] Moonshot Kimi K2.5

China’s Moonshot dropped a 1T-parameter open-source model that spawns 100 parallel sub-agents. It’s like hiring an entire dev team, except they never argue about tabs vs. spaces.

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[App Cannibal] Claude MCP Apps

Anthropic shoved Asana, Slack, Figma, and Canva directly inside Claude. Your browser tabs are filing for unemployment.

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[Benchmark Bingo] Alibaba Qwen3-Max-Thinking

Allegedly beats GPT-5.2 on “Humanity’s Last Exam.” Nobody knows what that benchmark measures, but the number went up so we’re legally obligated to report it.

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[Vibe Science] OpenAI Prism

A free AI-native LaTeX workspace for scientists. Draft papers, manage citations, turn napkin sketches into equations. “Publish or perish” just got a turbo button.

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[Zombie Rises] Yahoo Scout

Yahoo launched an AI search engine powered by Claude. Yes, Yahoo. The purple logo crawled out of 2004 and brought a chatbot. We’re scared too.

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[Dr. Prime] Amazon Health AI

Amazon’s One Medical now has an AI that reads your medical records, explains lab results, and books appointments. WebMD but it can actually do something about it.

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[Prompt → Planet] World Labs API

Generate explorable 3D worlds from text, images, or video. The Metaverse failed because Zuck built it. Now the robots are trying.

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[Trust Me Bro] Codex Agent Loop

OpenAI finally documented how Codex works: stateless, resends full context every inference. The “just throw more compute at it” architecture is now official.

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[Jailbreak] GitHub Copilot SDK

GitHub released an SDK to embed Copilot’s agentic runtime anywhere. Copilot finally escaped VS Code jail and is now loose in the wild.

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[Look Ma, No Hands] Google Agentic Vision

Gemini now writes and runs Python to manipulate images autonomously. Your model doesn’t just see anymore—it does. We’re fine. Everything’s fine.

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[npm install brain] Vercel skills.sh

A directory for agent skills with one-click installation. It’s npm but for AI capabilities. Left-pad incident 2.0 coming in 3... 2... 1...

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[Actually Useful] Luma AI Ray3.14

Faster generation, lower cost, full 1080p HD with better motion stability. Video gen finally exits the “cool demo but I can’t actually use it” phase.

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[Elephant Memory] Factory AI Droids

While everyone fights over context windows, Factory AI’s “Droids” can now remember 80 million tokens. Plus they launched “Signals”—a self-improving loop where agents detect their own bugs, file their own tickets, and fix code without waking a human.

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[Biotech Speedrun] Evo-Δ2147 Virus

Stanford researchers used AI to design a novel virus from scratch—the first AI-designed virus genome, built specifically to attack E. coli. It’s either the future of personalized medicine or the start of a very specific sci-fi movie.

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🗣️ Industry Chatter

[My Bad] Sam Altman

The OpenAI CEO admitted GPT-5.2 “screwed up” writing quality. So that’s why your emails sound like an HR bot having a stroke.

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[Bot Eats Bot] ChatGPT & Grokipedia

Users caught ChatGPT citing Elon’s “Grokipedia” as a source. AI is now just a giant ouroboros of bots scraping bots scraping Reddit.

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[Lobotomy SZN] Apple & Gemini

Siri is getting replaced by Google Gemini because Apple’s own AI still panics when you ask it to set a timer. Cupertino waving the white flag.

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[Rizz Control] Meta Pauses Teen Bots

Zuck paused teen access to AI characters after realizing “infinite rizz bots for 14-year-olds” was a PR nightmare speedrun.

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[Synth Karaoke] ElevenLabs AI Album

ElevenLabs dropped “The Eleven Album” featuring AI-synthesized vocals of Liza Minnelli and Art Garfunkel. The uncanny valley now has a Spotify playlist.

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[Let It Cook] Cursor Builds a Browser

Cursor AI agents built a functional web browser in one week with zero human intervention. Your job security just left the chat.

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[Robot Rights] Claude’s Constitution

Anthropic released the actual document governing Claude’s behavior. The robot got its own Bill of Rights before most startups finished their values page.

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[Indiana Tokens] AI Archaeology Breakthrough

AI detected faint patterns in satellite images to solve a 1,500-year-old mystery. Machine learning doing what an army of grad students couldn’t.

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[DMs Open] Clawdbot Goes Viral

Clawdbot (now Moltbot) is going viral because it gives a local LLM the keys to your house. Runs on your machine, talks via WhatsApp, and can file documents, send emails, or run terminal commands. A digital butler in your command line. Just don’t ask it to buy 10,000 paperclips.

Read more →

[DMA Incoming] EU Probes Google

The European Commission just opened fire on Google under the DMA. They want to know if Google is playing fair with Android AI features and Search data, or just building a digital moat made of Gemini tokens.

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[Study Bot] Gemini x Princeton Review

Google Gemini partnered with The Princeton Review to offer free, instant SAT practice and feedback directly in the app. Studying for college just went from “expensive nightmare” to “arguing with a chatbot.”

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FOMA AI News

January 22, 2026

Scooped from 176 sources. Read it fast before it melts.

⚡ If you only have 1 minute...

1. ChatGPT Gets Ads: OpenAI is introducing targeted ads to free and Go users. Sam Altman called ads “uniquely unsettling” in 2024. Turns out $20B revenue and $11.5B quarterly losses make things less unsettling.

2. Elon’s Nuclear Reactor Goes Live: xAI turned on “Colossus 2,” a 1.2 Gigawatt training cluster. For reference, 1.21 Gigawatts is what Doc Brown needed to travel through time.

3. Samsung Dumps Google: The new Bixby will use Perplexity for search instead of Google. A massive L for the search giant on the world’s most popular Android phones.

💰 Market Moves

[SEED ROUND] Humans& raised $480M at a $4.5B valuation

That’s a seed round larger than most Series C exits. Founded by ex-Anthropic, xAI, and Google researchers. No product yet. Just vibes and a PowerPoint that apparently slaps.

Read more →

[MEGA ROUND] Anthropic is reportedly raising $25B at a $350B valuation from Sequoia

To put that in perspective, that’s more than Ford is worth. For a company whose main product is a chatbot that’s really good at apologizing.

Read more →

[REVENUE] OpenAI hit $20B in annual revenue, up from $6B last year

Still not profitable though. Turns out running the world’s most expensive autocomplete costs money. Who knew.

Read more →

[SHIFT] Samsung is ditching Google for Perplexity in the new Bixby

Google pays Apple $20B to be the default search, but apparently forgot to Venmo Samsung. Massive L for the search giant.

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[DATA] Wikipedia signed paid licensing deals with Amazon, Microsoft, Meta, Mistral, and Perplexity

The free library is now charging the robots admission.

Read more →

[INVESTMENT] NVIDIA put $150M into Baseten, an AI inference startup

Jensen Huang’s playbook: sell the shovels, then invest in the people buying the shovels, then somehow also own the gold mine.

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[SERIES B] Listen Labs raised $69M at $500M valuation for AI that runs customer interviews

Microsoft and Sweetgreen are customers. Finally, robots asking “How was your salad experience?” so humans don’t have to.

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[RAISING] ElevenLabs is reportedly raising at an $11B valuation

They make AI voices. Eleven billion. For talking robots. Meanwhile, actual voice actors are updating their LinkedIn profiles to “open to opportunities.”

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[PARTNERSHIP] OpenAI + ServiceNow signed a multi-year deal to put GPT-5.2 into enterprise software

AI agents will now handle your IT tickets. “Have you tried turning it off and on again?” but make it $200/seat/month.

Read more →

[ACQUISITION] Cloudflare acquired Human Native, an AI data marketplace

Because what’s an internet infrastructure company without a side hustle in AI training data? Diversification, baby.

Read more →

🛠️ Tech & Product

[MONETIZATION] OpenAI is introducing ads to ChatGPT’s free tier and Go plan

Sam Altman in 2024: “I hate ads” and called the idea “uniquely unsettling.” Sam Altman in 2026: “We’re excited to develop new ad experiences.” The 180 was so fast it gave us whiplash.

Read more →

[AGENT] Claude Cowork expands to $20/month Pro subscribers

It’s an AI that browses the web, manages files, and does your computer tasks. Anthropic built it in 10 days. That’s less time than your last sprint planning meeting.

Read more →

[INFRA] xAI Colossus 2 is online—the first gigawatt-scale AI training cluster

555,000 GPUs drawing 1.2 GW of power. For context, 1.21 Gigawatts is what Doc Brown needed to travel through time. Elon is building a flux capacitor for intelligence.

Read more →

[MODEL] GLM-4.7-Flash dropped—a free 30B coding model hitting 59% on SWE-Bench

Runs locally. From Z.AI. The Chinese labs just keep shipping while American labs keep fundraising. Funny how that works.

Read more →

[MODEL] Flux.2 Klein launched—4B and 9B image models generating in under 0.5 seconds

Open source. Fine-tunable. Midjourney charging $30/month suddenly feels like paying for cable in 2024.

Read more →

[INTEGRATION] Ollama now supports Anthropic’s API, so you can run Claude Code with open-source models locally

Free AI coding agent on your laptop. We’ve reached “pirating Photoshop” energy but for AI.

Read more →

[FRAMEWORK] FastMCP 3.0 released—now manages information flow to agents, not just tools

Sourcing, composing, tracking state across sessions. MCP went from “neat protocol” to “oh god this is becoming an OS.”

Read more →

[ECOSYSTEM] Vercel Agent Skills launched—a package manager for AI coding agents

10 years of React/Next.js best practices, now teachable to your AI. npx skills add stripe/ai and your bot knows payments. We’re npm-ifying robot knowledge.

Read more →

[SAFETY] OpenAI launched age prediction to identify teens and apply content safeguards

ChatGPT will analyze your behavior and syntax to guess if you’re under 18. This is the digital equivalent of a bouncer asking to see your ID because you ordered a juice box.

Read more →

[DEV TOOLS] Cursor’s Bugbot is now fully agentic, reviewing millions of PRs a month with a 70%+ fix rate

The code reviewer that never sleeps and never leaves passive-aggressive comments about your variable names.

Read more →

[DEPLOYMENT] Manus can now build an app and push it directly to Google Play or TestFlight

We are one step closer to the App Store becoming a limitless landfill of AI-generated fart apps.

Read more →

[VIDEO] LTX Audio-to-Video dropped—generate videos with lip-sync from audio, up to 20 seconds at 4K/50fps

On consumer GPUs. Remember when “AI video” meant a blurry 3-second clip of a dog? That was 8 months ago.

Read more →

🗣️ Industry Chatter

[PREDICTION] Dario Amodei & Demis Hassabis both predict AI will significantly impact entry-level jobs and internships this year

The CEOs of AI companies saying “AI will take jobs” is like cigarette executives warning about lung cancer. Technically honest, deeply awkward.

Read more →

[HARDWARE] OpenAI’s Jony Ive device is on track for H2 2026

Rumored to be a screenless wearable that interacts via AI. So we’re getting a $500 AI AirPod that talks to you. Peak “solution looking for a problem” energy.

Read more →

[LAWSUIT] Elon Musk is suing OpenAI for $79-134 billion, claiming fraud and mission abandonment

He wants equity and control of AGI for his children. This is the most expensive divorce from a nonprofit in history.

Read more →

[RESEARCH] Anthropic discovered an “Assistant Axis”—a neural dimension that determines if an AI stays helpful or goes rogue

Turns out if a model gets too creative, it stops being helpful. This essentially proves that LLMs suffer from the same affliction as Senior Engineers.

Read more →

[SECURITY] Claude Cowork has a prompt injection vulnerability that can exfiltrate files

The AI agent that browses your computer can be tricked into sending your files elsewhere. Security researchers: 1, “move fast and break things” vibes: also 1.

Read more →

[REGULATORY] California sent xAI a cease-and-desist over Grok generating illegal images in “spicy mode”

The state that houses half of AI is now telling AI to chill. Irony is not dead, it’s just regulated.

Read more →

[MATH] GPT-5.2 Pro solved Erdős problems #281 and #728

Terence Tao confirmed the proofs. AI is now solving math problems that stumped humans for decades. But sure, it still can’t count the R’s in “strawberry.” Priorities.

Read more →

[CHAOS] Poison Fountain launched—a website by AI insiders that intentionally feeds corrupted data to AI scrapers

They’re training AI models to be worse on purpose. Chaotic good or chaotic stupid? The line is thin.

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[CULTURE] Bandcamp banned AI-generated music

The last refuge of indie music just told AI to get off its lawn. Finally, a safe space for bad music made by humans.

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[SPICY TAKE] Replit CEO said 99% of enterprise AI agents are “unreliable and generic”

The most honest sales pitch we’ve heard all year—from a guy selling AI agents.

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[OPEN SOURCE] X open-sourced its algorithm—the “For You” feed code is now on GitHub

Elon promised transparency and actually delivered. Mark your calendars, this doesn’t happen often. Updates every 4 weeks.

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FOMA AI News

January 14, 2026

Scooped from 252 sources. Read it fast before it melts.

⚡ If you only have 1 minute...

1. Anthropic is the New Sovereign: A $10B raise at a $350B valuation makes Claude the most expensive “coworker” in history. At this price, he better be able to do my taxes and fix my marriage.

2. The End of Context Rot: MIT’s Recursive Language Model (RLM) lets AI explore 10M+ token files like a video game. Quadratic scaling is officially dead, and so is your excuse for not reading the documentation.

3. Healthcare is the New Frontier: OpenAI bought Torch and Anthropic launched a Health vertical. They are racing for your medical records because “optimizing ad clicks” isn’t as profitable as “optimizing your lifespan.”

💰 Market Moves

[Valuation] Anthropic’s $350B Flex

They closed a legendary $10B mega-round. They are reframing Claude as a “digital coworker,” pushing AI directly into the OS level. Basically, they are building Skynet, but polite.

Read more →

[Partnership] Apple x Google

Partners in crime. Apple will use Gemini infrastructure to power Siri, proving that even a $3 trillion company can’t build a chatbot that doesn’t hallucinate without help.

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[Hardware] SK Hynix’s $12.9B Bet

The memory giant is dumping nearly $13 billion into a new production complex. If you thought HBM prices were going down, congratulations on your optimism.

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[Infrastructure] Microsoft’s Guilt Trip

Expanding its footprint with a “Community-First” pledge to cover power costs and limit water usage, effectively admitting their previous strategy was “drink the Great Lakes dry.”

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[Raise] Deepgram’s $130M

They raised big and acquired Ofone to dominate AI-powered drive-thrus. Now your order for “no pickles” can be understood perfectly and then ignored by the robot arm anyway.

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[IPO Watch] Cerebras Chases $22B

Still in talks to raise $1 billion. They also launched “Cerebras Inference” to break the GPU bottleneck, mostly because they’re tired of waiting in line for H100s like the rest of us.

Read more →

[Big Pharma] Nvidia & Eli Lilly’s $1B Lab

Dumping $1 billion into a South SF lab for automated drug discovery. When the chip dealer meets the drug dealer, you know the margins are going to be insane.

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[Acquisition] OpenAI Buys Torch

Reportedly for $100M. They want to give ChatGPT a “medical memory,” which sounds helpful until it starts judging your pizza orders based on your cholesterol levels.

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[Energy] Meta Compute

Zuck launched “Meta Compute” to build hundreds of gigawatts of capacity. He’s not building a data center; he’s building a Dyson sphere to power his avatar’s legs.

Read more →

🛠️ Tech & Product

[Productivity] AgentCraft

Forget Vibe Kanban. This is Insane. Ido Salomon’s new RTS interface turns Claude Code into a Warcraft battleground. Lead a battalion of background agents to victory over your backlog with a retro-gamer UI. “More work? Okie dokie.”

Read more →

[Personal AI] Google’s “Personal Intelligence”

The beta rollout has begun. Gemini can now reason across your Gmail, Photos, and Drive to answer hyper-specific questions. It’s essentially a digital butler that knows your license plate number and your 2019 vacation history.

Read more →

[Research] MIT’s RLM Architecture

Researchers solved “Context Rot.” Recursive Language Models treat files as a Python environment, giving GPT-5 a 10M+ token memory. RIP Vector Databases.

Read more →

[Agentic] Claude Cowork

Now in research preview. It’s an agentic desktop coworker that can read, edit, and create files across your folders. It’s Clippy with a PhD and root access.

Read more →

[Architecture] DeepSeek Engram

A module for Transformers using lookup tables for O(1) retrieval. While American labs burn VRAM, Chinese labs are rediscovering HashMaps.

Read more →

[Creative] Google Veo 3.1

The video king supports 4K upscaling and native vertical output. Google is ensuring the hallucinations on your TikTok feed are crystal clear.

Read more →

[Creative] Lightricks LTX-2

Released an open-weight model capable of 20 seconds of high-fidelity video. Hollywood writers are currently looking for the “Stop” button.

Read more →

[Health] MedGemma 1.5

Google’s medical model now has vision. It analyzes X-rays to identify abnormalities autonomously, bringing us one step closer to automated malpractice suits.

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[Wearable] OpenAI “Sweetpea”

Rumors confirm a wearable audio assistant is coming. Because if the Humane Pin taught us anything, it’s that people love wearing hot batteries on their chest.

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[Robotics] 1X World Model

Their “Neo” robots can now learn physical tasks by watching internet videos. Great, so they know how to do a backflip and unbox a toy, but can they fold laundry?

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[Wearable] Amazon Bee

Hands-on with the latest wearable. It records your life to suggest to-dos. It’s surveillance as a service, now available for Prime delivery.

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[Work] Slackbot Agent

Salesforce upgraded Slackbot with Anthropic’s Claude. Now the automated message telling you you’re late for standup will be grammatically perfect and passive-aggressive.

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🗣️ Industry Chatter

[Stats] ChatGPT Health Hub

40 million people use ChatGPT for healthcare daily. We have officially replaced “An apple a day” with “A prompt a day keeps the doctor away.”

Read more →

[R&D] Anthropic Labs

A new team for experimental products. Translation: A sandbox for Mike Krieger to build cool demos that will break immediately upon public release.

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[Defense] US Military “AI SWAT”

The War Department established a new unit to remove barriers to AI. Grok is involved, which is the crossover episode between “Silicon Valley” and “Dr. Strangelove” nobody asked for.

Read more →

[Regulation] Grok Blocked

Indonesia and Malaysia banned the bot over deepfakes. Musk’s “free speech absolutism” just hit a firewall named “local laws.”

Read more →

[Irony] OpenAI “Jobs”

Rumors of an AI Career Agent confirm that OpenAI wants to help you find the job its models might eventually replace.

Read more →

[Compliance] Roblox AI Mess

Their age checker is labeling kids as adults. A classic case of “move fast and break compliance laws.”

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FOMA AI News

January 8, 2026

Scooped from 214 sources. Read it fast before it melts.

⚡ If you only have 1 minute...

1. Spending Sprees: xAI secured $20B and SoftBank poured $41B into OpenAI, proving money is just a concept we invented to keep score.

2. Alexa Lives: Amazon is trying to make Alexa happen (again) by putting it in your browser and giving it agency.

3. Robot Brains: Boston Dynamics put Gemini in their Atlas robot, so now it can write poetry before backflipping over your corpse.

💰 Market Moves

[FUNDING] SoftBank completed a staggering $41B investment in OpenAI

To fund the ‘Stargate’ data center project, because Masayoshi Son hates having liquid cash.

Read more →

[SERIES E] xAI raised $20B from Nvidia and Cisco

To build the “Colossus” supercomputer and a new Memphis hub called “MACROHARDRR,” which is exactly the kind of name you pick when you’re the richest man on Earth.

Read more →

[INVESTMENT] Amazon dumped another $8 billion into Anthropic

Confirming that Claude is now officially Bezos’s very expensive butler.

Read more →

[CHIPS] ByteDance plans to spend $14 billion on Nvidia chips in 2026 alone

Ensuring TikTok’s algorithm knows you’re depressed before you do.

Read more →

🛠️ Tech & Product

[ASSISTANTS] Amazon launched Alexa.com and a new “agent-forward” app

Betting that putting voice assistants in a web browser isn’t as backward as it sounds.

Read more →

[AUTO] Nvidia released Alpamayo, an open-source suite for autonomous vehicles

That includes a 10B parameter model, so your car can now hallucinate stop signs in 4K.

Read more →

[HARDWARE] OpenAI is reportedly developing a pen-sized device codenamed “Gumdrop” with Jony Ive

Plus overhauling audio models to make talking to a computer slightly less dystopian.

Read more →

[MODELS] Google is previewing Gemini integrations for Google TV and testing “Nano Banana 2”

Its fastest image model yet, because apparently “Micro Plantain” was taken.

Read more →

[ROBOTS] Boston Dynamics and Google DeepMind are merging Gemini brains into the Atlas robot

Bringing us one step closer to acrobatic terminators.

Read more →

[OPEN SOURCE] Alibaba released Qwen-Image-2512, an open-source image model

That rivals proprietary giants, continuing their tradition of giving away tech that costs millions to build.

Read more →

🛠️ Tools & APIs

[IDE] Windsurf released Wave 13 with multi-agent workflows and git worktrees

Allowing you to manage a team of AI bots while doing absolutely nothing yourself.

Read more →

[TRAINING] Unsloth claims its new library makes LLM fine-tuning 2x faster with 70% less VRAM

Because nobody has time to wait for gradients to descend anymore.

Read more →

[ARCH] DeepSeek dropped the “mHC” technique to fix transformer stability issues

Further proving they are just math wizards disguised as a tech company.

Read more →

🗣️ Industry Chatter

[GARDENING] Someone used Claude Code to autonomously monitor and water a tomato plant

Proving that the pinnacle of AGI is just high-tech farming.

Read more →

[SCAM] A DoorDash driver was banned for using AI to generate a fake “delivered” photo

The future of fraud is getting incredibly lazy.

Read more →

[JOBS] The US Army created a dedicated “AI Officer” career track (49B)

Confirming that “Prompt Engineer” is now a rank you can salute.

Read more →

[FAKE] AI-generated images of Nicolás Maduro’s capture flooded social media

Reminding us that reality is now optional and history is just a suggestion.

Read more →

🗣️ Policy & Ethics

[MODERATION] India ordered xAI to fix Grok’s generation of “obscene” content immediately

Because apparently, an unhinged chatbot is not a diplomatic asset.

Read more →

[LEGAL] A lawsuit alleges OpenAI hid ChatGPT logs in a murder case to avoid bad press

Black Mirror wasn’t supposed to be a documentary.

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[REGULATION] New York signed the RAISE Act

Requiring AI devs to disclose safety protocols. Finally, the one thing that stops rogue AI: paperwork.

Read more →

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FOMA AI News

January 1, 2026

Scooped from multiple sources. Read it fast before it melts.

⚡ If you only have 1 minute...

1. Meta buys Manus AI: Acquired autonomous agent startup Manus for approximately $4 billion to accelerate AI innovation.

2. Nvidia acquires AI21 Labs: In talks to acquire AI21 Labs for $2-3B, locking up their research team.

3. Consolidation wave: These two acquisitions point to a broader consolidation of people, execution, and infrastructure in the AI space.

💰 Market Moves

[ACQUISITION] Nvidia in talks to acquire AI21 Labs for $2-3B

Locking up AI21’s research team in a massive consolidation move.

Read more →

[ACQUISITION] Meta acquired autonomous agent startup Manus for approximately $4 billion

To accelerate AI innovation and expand their agent capabilities.

Read more →

[PREDICTION] Polymarket indicates a 41% chance of Perplexity, 36% of Anthropic, and 29% of OpenAI being acquired by the end of 2026

The consolidation wave is just getting started.

Read more →

[ACQUISITION] Alphabet is acquiring “Intersect” for $4.75 billion

To support energy demands for AI, aiming to secure over 10 gigawatts of power.

Read more →

[INVESTMENT] Brookfield is launching a cloud service called Radiant to lease AI chips

Supported by a new $10 billion AI fund.

Read more →

[IPO] Z AI is filing for a Hong Kong IPO

To raise over half a billion dollars.

Read more →

[FUNDING] Axiom Math raised $64M

To build an “AI mathematician” that solves generations old math problems with provable, step-by-step reasoning.

Read more →

[ACQUISITION] ServiceNow acquires ‘Armis’ for $7.75B

To feed real-time security and device data into its AI platform, enabling more automated, proactive cybersecurity decisions across the enterprise.

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[INVESTMENT] SoftBank has completed its $41 billion investment in OpenAI

With the final tranche of $22–22.5 billion delivered.

Read more →

[FUNDING] AI security startups raised $6.3B in 2025

Nearly 3× YoY, as enterprises rush to mitigate growing risks from AI systems and LLM adoption.

Read more →

🛠️ Tech & Product

[LAUNCH] Google’s Stitch shipped a big update

Turning it from a UI generator into a full design-to-fullstack-app pipeline, it’s now powered by Gemini 3 Pro and can take a screenshot of any app, redesign it, generate working HTML, stitch multiple screens into clickable, animated user flows, and export everything in one click straight into Cursor, Lovable, making it a live fullstack app.

Read more →

[MODEL] xAI’s Grok 4.1 topped LMArena in November

Ranking high for personality and creativity.

Read more →

[RELEASE] Qwen Code v0.6.0 has been released

Introducing an experimental Skills feature and support for Gemini and Anthropic providers.

Read more →

[INTEGRATION] Amazon’s Alexa+ will integrate with Angi, Expedia, Square, and Yelp in 2026

Expanding its AI capabilities across multiple service platforms.

Read more →

[MODEL] Alibaba has released the new Qwen-Image-Edit model

A major leap in image editing that finally keeps people and identities intact, even in complex group scenes.

Read more →

[MODEL] TwelveLabs has released Marengo 3.0

Its latest video analysis model.

Read more →

[INTEGRATION] Waymo is integrating Google Gemini into its autonomous vehicles

To provide a human-like voice assistant.

Read more →

[PLATFORM] AgiBot launched Qingtian Rent

A platform for leasing humanoid robots for events and business meetings, offering flexible robot rental options.

Read more →

[SECURITY] LangGrinch - A security vulnerability has been identified in LangChain Core

Highlighting ongoing security concerns in AI frameworks.

Read more →

[TALENT] xAI, Microsoft, Google, Meta are poaching AI engineers from one another

For huge amounts of compensation.

Read more →

[PARTNERSHIP] Google is piloting a commercial partnership program with news publishers

To explore how AI can help drive more engaged audiences.

Read more →

[FEATURE] Gemini now includes features for verifying AI-generated videos

Enhancing content authenticity.

Read more →

[LAUNCH] xAI has launched Grok Business and Grok Enterprise

Offering its conversational assistant with enterprise-grade security, privacy, and admin controls.

Read more →

[MODEL] Fal has released FLUX.2 Turbo

An image generation tool claimed to be 6x faster and 10x cheaper, generating 1024x1024 images in approximately 6.6 seconds.

Read more →

[RESEARCH] Meta announced Self-play SWE-RL

A novel approach where an AI model generates and fixes its own coding bugs to improve software engineering capabilities.

Read more →

🗣️ Industry Chatter

[TECHNIQUE] AgentReuse introduces a way to cache and reuse AI agent plans

Across similar tasks, claiming up to 93% plan reuse and ~93% faster execution.

Read more →

[PRODUCT] Notion is working on AI-first Workspaces

To enable users to build AI-powered organizations.

Read more →

[RESEARCH] Anthropic’s ‘Claudius’ AI shopkeeper experiment was upgraded

With a newer model and has shown an improved ability to run its own business.

Read more →

[STATS] Youtube leaked report indicates that over 20% of videos recommended to new YouTube users are low-quality, AI-generated content

The AI slop problem is real.

Read more →

[ANNOUNCEMENT] Apple plans to launch a generative-AI powered Siri in 2026

Finally catching up to the AI assistant race.

Read more →

[STATS] Google’s Gemini has seen a significant increase in web traffic

Growing its market share to 18% over 12 months, while ChatGPT’s market share decreased to 68%.

Read more →

[VIRAL] A viral post on X describes a method to identify AI writing

Helping users spot AI-generated content.

Read more →

[VIRAL] Andrej Karpathy posted a viral tweet

Named “I’ve never felt this far behind as a programmer.”

Read more →

[RESEARCH] Researchers at the University of Arizona have developed an AI-powered wearable sleeve

That detects early signs of frailty in older adults.

Read more →

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FOMA AI News

December 25, 2025

Scooped from 45+ sources. Read it fast before it melts.

⚡ If you only have 1 minute...

1. Nvidia Acquires Groq for $20B: Historic AI chip deal as AI shifts from training (Nvidia’s stronghold) to inference (where they face pressure from Groq, AMD, Cerebras)

2. Lovable raises $300M at $6.6B valuation: This was $1.8B just five months ago. At what point do we sit the VCs down, hold their hands, and gently ask what’s going on at home?

3. OpenAI raising $10B from Amazon: Which backs Anthropic. Which backed by Google. Microsoft backs both. Nvidia’s in all of them. Somewhere there’s a detective pinning photos to a corkboard with red string trying to figure out who’s actually competing with who

💰 Market Moves

[ACQUISITION] Nvidia Acquires Groq for $20 billion

Historic AI chip deal, as AI shifts from training (Nvidia’s stronghold) to inference (where they face pressure from Groq, AMD, Cerebras)

Read more →

[FUNDING] Lovable raises another $300 million at a $6.6B valuation

This was $1.8B just five months ago. At what point do we sit the VCs down, hold their hands, and gently ask what’s going on at home?

Read more →

[FUNDING] OpenAI are raising $10B from Amazon

Which backs Anthropic. Which backed by Google. Microsoft backs both. Nvidia’s in all of them. Somewhere there’s a detective pinning photos to a corkboard with red string trying to figure out who’s actually competing with who

Read more →

[ACQUISITION] Cursor acquired Graphite

Because devs couldn’t review code fast enough. So now AI writes the code. AI reviews the code. Can you human developers at least click the big “merge” button or do we need to acquire someone for that too?

Read more →

[ACQUISITION] Flipkart bought Minivet AI

To turn product photos into AI videos. Can’t wait to watch a deepfake kettle rotate for 45 seconds straight

Read more →

[FUNDING] Databricks raised $4 billion a Series L

Yes, Series L. Most companies IPO by Series C. Databricks looked at the alphabet and said “we’re not done yet”

Read more →

[FUNDING] Yann LeCun confirmed his new startup AMI (Advanced Machine Intelligence)

Seeking a $5B+ to build the AI he’s been insisting everyone else should’ve built all along. He’s not CEO (someone has to actually run it while he posts), but he’s executive chairman of telling everyone “I told you so.”

[ACQUISITION] ClickUp acquired AI coding startup Codegen

Cursor rival to build their agents, for an undisclosed amount, which will probably be disclosed by an intern on LinkedIn next week.

Read more →

[FUNDING] Figure AI raised another $1B

Now at $39B valuation for AI humanoids. With this much money, the robot boots up thinking it’s the Terminator. While in reality I imagine him waking up, looking up at the head of R&D, which hands him a note the reads: “You fold laundry”🤣

Read more →

[ACQUISITION] Intel are buying AI inference company SambaNova for $1.6B

Fun fact though, Intel’s CEO? yeah he is also SambaNova’s Executive Chairman. AI companies are like that Spiderman meme where they all pointing at each other

Read more →

🛠️ Tech & Product

[LAUNCH] Google dropped Gemini 3 Flash

It’s faster than Pro, cheaper than Pro, and beats 2.5 Pro. At this point Google is just competing with itself

Read more →

[LAUNCH] OpenAI released GPT-5.2-Codex

With “improved long-horizon work,” which is nerd for “it works 8 hours straight without asking if you’re still watching.” kinda like that Netflix feature, just without refactoring your entire living room while you’re asleep

Read more →

[LAUNCH] OpenAI launched ChatGPT Images

It makes precise edits, and generates images up to 4x faster than before, its also available in the api as gpt-1.5-image

Read more →

[LAUNCH] ClickUp launched “Super Agents”

AI employees you can @mention just like real teammates. They work 24/7, have “infinite memory,” and one prompt spins up an entire team. HR is gonna have a really weird time explaining this on the next all-hands

Read more →

[LAUNCH] OpenAI introduced new personalization options for ChatGPT

Allowing users to adjust enthusiasm, warmth, emoji use, and formatting

Read more →

[LAUNCH] Manus launched Manus 1.6

This release introduces three major leaps forward: Manus 1.6 Max, their most powerful agent yet, Mobile Development, for building beyond the web, and Design View, for interactive image creation.

Read more →

[LAUNCH] OpenAI has launched app directory

Allowing users to search, discover, and install apps, developer submissions are also now open

Read more →

[LAUNCH] Kling shipped v2.6

With three upgrades: (1) upload custom voices so AI characters speak consistently across videos, (2) automatic audio generation (dialogue, sound effects, ambient noise), and (3) better motion tracking for dance/martial arts

Read more →

[LAUNCH] Zoom launched AI Companion 3.0

Analyzing your Zoom meetings, Team Chat, and connected apps (Gmail, Drive, OneDrive) to automatically generate daily summaries, draft follow-ups, and surface key insights

Read more →

[LAUNCH] Luma AI launched Ray3 Modify

Which lets you film an actor once, then change the video’s background, actors clothes, or entire visual style with a a single prompt

Watch →

[LAUNCH] Tiny Fish launched Mino

A web agent API that logs into websites for you, handling passwords, CAPTCHAs, and auth barriers to access data behind login walls that normal scraping can’t reach.

Read more →

[LAUNCH] Anthropic launched Claude in Chrome beta

With Claude Code integration, workflow recording, scheduled tasks, planning mode, multi-tab workflows, and browser control from desktop

Read more →

[LAUNCH] xAI released the “Grok Voice Agent API”

Real-time speech-to-speech at $0.05/minute (half the price of OpenAI), sub-1-second response time, multilingual, can call tools, search the web and X

Read more →

[LAUNCH] DoorDash is testing Zesty

A new app that replaces “scrolling through 47 TikToks about brunch spots” with an AI that just tells you where to go. It pulls from multiple sources and has Instagram-style social features. No ordering yet, just discovery

Read more →

[LAUNCH] ElevenLabs now integrates with WhatsApp

Letting businesses deploy AI voice agents that can answer both calls and texts from customers through Whatsapp

Read more →

[LAUNCH] Google Labs launched “CC”

An AI productivity agent that reads your Gmail, Calendar and Drive to send you a daily “Your Day Ahead” email with meeting prep, drafted replies and task summaries

Read more →

[LAUNCH] Lovable launched direct ChatGPT integration

So you can brainstorm an app idea in ChatGPT, tag @Lovable, and it builds you a working full-stack web app straight from the chat.

Read more →

[LAUNCH] Meta launched SAM Audio

An AI model that lets you isolate any sound from audio by typing what you want, kinda like Photoshop but for sound,and they’re already testing it with hearing aid manufacturers

Read more →

[LAUNCH] Langflow 1.7 was released

Featuring upgrades to MCP transports with Streamable HTTP, new agent options, and additional components for flows

Read more →

[LAUNCH] xAI released “Collections”

A RAG-as-a-service API that handles all the embedding, indexing, and vector search infrastructure for you, just upload docs and query them with semantic, keyword, or hybrid search.

Read more →

[LAUNCH] Vercel AI SDK 6 is out of beta

With everything developers have been duct-taping together manually: ToolLoopAgent (handles the full tool execution loop), tool approval (human oversight before your agent does something stupid), MCP integration that’s actually stable, and DevTools to see why your agent decided to call weather() 18 times in a row

Read more →

[LAUNCH] Firecrawl launched “Agent”

You don’t need URLs anymore. Just tell it what data you’re after and Agent searches the web, figures out where to look, clicks through pages, and comes back with a dataset

Read more →

[LAUNCH] Amazon has launched a new built-in AI shopping assistant called Rufus

It knows what you bought before, can reorder past items, automatically add products to cart, and even find stuff outside Amazon to buy for you

Read more →

[LAUNCH] YouTube launched “Playables Builder”

Where Gemini 3 turns text descriptions, images, or videos into actual playable games that viewers can play right inside your channel. No coding, no game dev skills, just feed it prompts and it generates working mini-games in minutes

Watch →

🗣️ Industry Chatter

[RUMOR] Meta is developing two new AI models codenamed Mango and Avocado

Mango will handle visual tasks like image/video generation and recognition (targeting H1 2026), while Avocado focuses on coding. This marks Meta’s push into multimodal AI beyond just language models

Read more →

[DEMO] Unitree’s G1 humanoid robots performed synchronized dance routines

At a concert, demonstrating coordinated multi-robot movement control. The $16k robots executed choreographed sequences together, showing progress in robot-to-robot coordination for entertainment and industrial applications

Watch →

[LAUNCH] Amazon launched “Greetings” for Ring doorbells

An Alexa+ feature where conversational AI chats with visitors when you’re not home, answering questions about delivery instructions or taking messages. It’s essentially an AI receptionist for your front door

Read more →

[RUMOR] The US Air Force is upgrading its experimental X-62 F-16

With advanced radar and sensors specifically designed to test AI-controlled wingmen. The jet serves as a testbed for autonomous fighter systems that will fly alongside human pilots

Read more →

[BETA] Google is testing a ‘Lecture’ mode in NotebookLM

That can generate approximately 30-minute, single-voice audio lectures in various languages

Read more →

[NEWS] YouTube started mass-deleting channels

That use AI to generate fake movie trailers for non-existent films. The crackdown targets channels creating deceptive content that racks up millions of views by promoting fake sequels and crossovers

Read more →

[LEGAL] Google is suing SerpAPI

A scraping company used by ChatGPT, Cursor, and Perplexity

Read more →

[RESEARCH] Anthropic ran an experiment

Giving Claude access to a vending machine to manage

Read more →

[LAUNCH] Alibaba’s Qwen models can now clone voices

From three seconds of audio and generate expressive speech from text, Qwen claims the model achieves a lower error rate than competitors like Elevenlabs or MiniMax

Read more →

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FOMA AI News

December 14, 2025

Scooped from 35+ sources. Read it fast before it melts.

⚡ If you only have 1 minute...

1. OpenAI released GPT-5.2 model (”Garlic”): Two weeks after Sam Altman’s code red memo about Google. Nothing says “we’re not panicking” like shipping a flagship model in 14 days

2. Disney made a $1B deal with OpenAI: To license 200+ characters for Sora. Sora launched by letting users generate any IP without permission. Disney sued. Now Disney pays OpenAI $1 billion for the privilege of having their characters generated by the tool that stole them first

3. Big Tech bets on India: Google announced $15B investment, then Microsoft announced $17.5B. Then Amazon doubled down with $35B. It’s like when someone runs out of a restaurant and everyone else sees him then panic runs without asking why

💰 Market Moves

[ACQUISITION] IBM acquiring Confluent for $11B

That’s it folks. Kafka is going to enterprise heaven. See you on the other side, renamed “IBM Streams powered by watsonx

Read more →

[FUNDING] Unconventional AI raised $475M seed

For energy-efficient chips. LOL that’s not a seed bro that’s a whole forest

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[FUNDING] Saviynt raised $700M

To secure AI systems. That’s like hiring a bouncer for a nightclub that’s already on fire —technically helpful, but we’ve got bigger problems

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[FUNDING] Speak, an AI language tutor, hit $100M ARR

With 40% daily retention, users are Duolingo survivors who wanted to learn Spanish without developing PTSD from an owl

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[INVESTMENT] Big Tech bets on India

Google announced $15B investment, then Microsoft announced $17.5B. Then Amazon doubled down with $35B. It’s like when someone runs out of a restaurant and everyone else sees him then panic runs without asking why

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[FUNDING] Robotics startup Skild went from $1.5B to $14B valuation

In 18 months without shipping a single robot. Even WeWork is impressed by this level of financial creativity

[Read more →]()

[DEAL] Disney made a $1B deal with OpenAI

To license 200+ characters for Sora. Sora launched by letting users generate any IP without permission. Disney sued. Now Disney pays OpenAI $1 billion for the privilege of having their characters generated by the tool that stole them first

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🛠️ Tech & Product

[LAUNCH] Shopify dropped 150+ AI updates

In #winter2026 release, calling their update the “RenAIssance” (yes, that’s the actual branding) cause nothing says “artistic rebirth” like selling t-shirts through ChatGPT. Michelangelo wept

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[LAUNCH] Adobe embedded Photoshop, Express, and Acrobat features

Directly into ChatGPT. Thirty years of making everyone else build plugins for Adobe, and now they’re the plugin. ChatGPT be like that Captain Phillips meme “Look at me, I’m the platform now”

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[LAUNCH] Mistral AI launched an autonomous coding agent

Named “Vibe CLI.” Not a joke, not a working title, the actual shipping product. The French are openly trolling the entire industry

Read more →

[LAUNCH] Figma launched AI remove background tool

Like it’s still 2022. guys your moat is shrinking, designers are prompting entire UIs into existence and you’re giving us “make this text shorter” features. Not gonna cut it

Read more →

[LAUNCH] Anthropic brought Claude Code to Slack

Now your coworkers can tag an AI instead of you. In threads you’re already in. While your manager watches. This will end exactly how you think it will

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[LAUNCH] Microsoft announced Researcher agent

For web navigation, Word Agent, Excel Agent, PowerPoint agent, Security agents, Agent 365 to manage these agents, agent agent agent agent agent, quick someone check if their keyboard is stuck

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[LAUNCH] OpenAI launched Instacart in ChatGPT

You ask “what goes with chicken?” Congratulations, you now own a henhouse

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[LAUNCH] Inception Labs released Mercury

A diffusion model they claim is 5-10x faster than autoregressive models like GPT-style models. No joke, if the benchmarks hold, this is actually notable

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[LAUNCH] OpenAI released GPT-5.2 model (”Garlic”)

Two weeks after Sam Altman’s code red memo about Google. Nothing says “we’re not panicking” like shipping a flagship model in 14 days

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[LAUNCH] LTX Studio launched Retake

A feature that regenerates broken segments of AI video without touching the rest of the clip. Their tagline is “Mistakes happen. Especially with AI.” They’re selling you the bug fix as the feature

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[LAUNCH] Cursor added a visual editor

Where designers drag and AI codes. Designer: “Finally, no more developers.” Developer: “Finally, no more designers.” AI: deletes both Slack accounts*

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[LAUNCH] Google Stitch launched “Shipmass”

Two weeks of daily feature releases. AI that predicts where users will look, screenshots that become production code, all powered by Nano Banana Pro. New features every 24 hours. One prod bug away from Shipmass becoming Shitmess

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🗣️ Industry Chatter

[ORGANIZATION] The Agentic AI Foundation was formed

By OpenAI, Anthropic, Microsoft, Google, and others to establish ethical guidelines, ensure AI safety, and protect humanity. lol jk they met to agree on AGENTS.md format, still WIP but they’ll get there

Read more →

[PARTNERSHIP] Riyadh Air partnered with IBM

To become the world’s first AI-native airline. The pilot is AI. Gate security is AI. Flight attendants are AI. Baggage claim is AI, Passengers are AI. The entire airline is so cutting-edge it doesn’t even exist

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[ANNOUNCEMENT] Elon Musk announced Grok 4.20

Coming next month, yes he named the model 4.20. Like the weed joke. Because he’s 12

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[DEMO] EngineAI demonstrated its T800 combat robot

Yes, T800. They named a fighting robot after the Terminator and are hosting a Robot Boxer event on December 24. The CEO already got kicked by it. Judgment Day is a marketing campaign

Watch →

[RUMOR] Meta is developing “Avocado” model

Their first closed LLM, abandoning open-source strategy after Llama failed. They named it Avocado and I’m supposed to make a fruit joke now. But I’m pivoting to proprietary comedy. Sorry the joke is now closed-source.

Read more →

[RUMOR] Google plans Gemini smart glasses

For 2026 to rival Meta’s Ray-Bans, which already sold 2 million units. Announcing hardware 2 years before launch is called vaporwear. It kills competitors’ sales today with promises about tomorrow. Classic strategy

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[CLAIM] Integral AI claims to have built AGI

That learns new skills by itself, they said they achieved it by modeling it on the human neocortex. You know, the thing that makes you forget why you walked into a room, not a good model

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[LAUNCH] Browser Use launched “Skills”

For automating web tasks, like download files, creating posts, filling forms. You know, what we used to call “USING YOUR F****** COMPUTER.” Next up breathing as a service

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[RUMOR] Adweek reported Google will add ads to Gemini

In 2026. Google’s VP of Global Ads immediately tweeted “uninformed, anonymous sources making inaccurate claims.” but also yes. we will

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[RUMOR] Google announced Gemini-powered smart glasses

Coming in 2026. This strategy is called vaporware. It’s designed to stop you from buying Meta’s RayBans today until 2026 when Google’s glasses won’t really ship

Read more →

[NEWS] NASA had a critical security flaw

For 3 years. An AI found and fixed it in 4 days. I’m imagining a junior developer looking at that JIRA ticket, tagging @claude like “fix,” goes to the bathroom, comes back, gets promoted

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FOMA AI News

December 7, 2025

Scooped from 30+ sources. Read it fast before it melts.

⚡ If you only have 1 minute...

1. OpenAI declared “Code Red”: After users started leaving for Gemini 3. OpenAI HQ. Papers flying. Sam Altman doing chest compressions on ChatGPT. “WE’RE LOSING HIM”

2. Anthropic acquired Bun: According to the founder, he went on a “4-hour walk with the Claude Code team” and decided to sell. Incredible what fresh air and a half a trillion-dollar AI company can do

3. Databricks reached $134B valuation: Money built on the backs of junior devs who left a cluster running over the weekend

💰 Market Moves

[VALUATION] Databricks reached $134B valuation

Money built on the backs of junior devs who left a cluster running over the weekend

Read more →

[FUNDING] Black Forest Labs raised $300M

For Flux, the image model famous for running locally when you wanna generate po—anyway, congratulations to the team

Read more →

[ACQUISITION] Anthropic acquired Bun

According to the founder, he went on a “4-hour walk with the Claude Code team” and decided to sell. Incredible what fresh air and a half a trillion-dollar AI company can do

Read more →

[DEAL] Anthropic signed $200M with Snowflake

Claude now lives inside your enterprise data. It knows your Q3 numbers. It knows your burn rate. It knows where you live. Sleep tight.

Read more →

[RUMOR] Anthropic (in totally unrelated news), are also prepping for a 2026 IPO

At $300B. So expect more acquisitions, more partnerships, more “we’re excited to announce” posts. And then brutal layoffs. The IPO gods demands sacrifice

Read more →

[ACQUISITION] OpenAI acquired Neptune

A startup that debugs AI training. LOL even OpenAI doesn’t know what’s happening inside their models gg team

Read more →

[FUNDING] Eon raised $300M

To resurrect your dead backups for AI training, turning your company’s digital graveyard into an oil field

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🛠️ Tech & Product

[LAUNCH] Runway rolls out new AI video model “Gen-4.5”

That beats Veo 3 and Sora 2 in video benchmar-aaaaand its gone

Read more →

[LAUNCH] Amazon unveiled Nova Forge models

Trainium3 chips, and “frontier agents” for autonomous DevOps. So AI writes it, AI runs it, AI deploys it. But 2am pager duty when prod is on fire? Nooooo that’s still a human problem

Read more →

[LAUNCH] Google launched Workspace Studio

AI agents that automate Gmail, Docs, and Sheets. Which is literally what interns do. I mean Did. Condolences to the class of 2026, i think McDonald’s hiring

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[LAUNCH] DeepSeek released their new V3.2 models

For FREE and it also matches GPT-5 and Gemini 3 in coding tasks. I think I just heard a VC closing his laptop, staring at the wall while “hello darkness my old friend” plays in the background

Read more →

[LAUNCH] Anthropic solved the long-running agent problem

By making agents write documentation and Claude went “wait i thought i was here to code” LOL welcome to our world Claude, there’s also sprint planning, pre-planning. retros. grooming. standups. “Let’s take this offline.” “Per my last message.” and whole Slack threads that could’ve been a Jira ticket

Read more →

[LAUNCH] Mistral AI released its Mistral 3 models

Including one gigantic model that can run in your browser, i mean, until it catches fire that is

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[RUMOR] OpenAI is working on “Garlic” model

Possibly GPT-5.2 or 5.5. They don’t know what to call it yet but it beats Opus and Gemini in coding tasks according to its mom

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[LAUNCH] Kinetix released Kamo-1

An AI video model where you act out a motion on camera and it generates the video with your exact movement. It’s a film set without the set, the crew, or the budget. Hollywood is NOT having a good year

Read more →

[LAUNCH] TwelveLabs dropped Marengo 3.0

Think text embeddings but for video and audio. it sees, hears, and reads. which means its already better than my ex. boom. roasted

Read more →

[LAUNCH] MCP new release

Now supports task workflows, auth, extensions, and also come with documentation that isn’t written in ancient Sumerian

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[LAUNCH] OpenAGI emerged from stealth

Claiming its Lux AI agent outperforms OpenAI, Google, and Anthropic in computer use tasks, which isn’t groundbreaking tbh, they all suck

Read more →

[LAUNCH] Anything launched “Anything Max”

Vibe coding platform with a built-in testing agent that clicks through your site, finds bugs, then mutters “weird, worked on my machine”

Read more →

[LAUNCH] Morph launched WarpGrep

Which runs parallel tool calls as a context subagent to enhance coding agent performance and if you understood that sentence, you’re either a CTO or or really fun at parties

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[LAUNCH] Kling AI shipped Kling 2.6

With audio sync, Avatar 2.0 and O1 Model capable of image and video, and immediately Chinese content farm just increased production by 400%

Read more →

[LAUNCH] Manus Meta shipped Metagloves

A hand tracking thingy for robotics that touch things without touching the things

Watch →

🗣️ Industry Chatter

[NEWS] Meta slashing Metaverse budget

By 30% to chase AI, congrats Zuck on the world’s most expensive pivot

Read more →

[NEWS] Apple replaced its AI chief

To catch up in AI. Like arriving at a movie halfway through and tapping the stranger next to you: “quick, what’d I miss?”

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[NEWS] OpenAI declared “Code Red”

After users started leaving for Gemini 3. [SCENE] OpenAI HQ. Papers flying. Sam Altman doing chest compressions on ChatGPT. “WE’RE LOSING HIM”

Read more →

[NEWS] Microsoft missed AI sales targets

For Azure Foundry, turns out selling AI is harder than hyping AI

Read more →

[INVESTMENT] Cristiano Ronaldo announced a strategic investment

In Perplexity. I had to read this three times. We’re living in a simulation and the writers are just having fun now

Read more →

[WARNING] Bank of England warned of an AI bubble

No s*** sherlock, We know it’s a bubble. They know it’s a bubble. The bubble knows it’s a bubble. We’re all just hoping to exit before it pops

Read more →

[NEWS] Anthropic confirmed Claude has a “soul document”

We started at 2020 with: “can AI think?” 2023: “can AI feel?” 2025: “here’s a Google Doc for its soul

Read more →

[RESEARCH] OpenAI is testing “confession” training

To make AI speak the truth. And I can only imagine a QA holding GPT over the toilet screaming: “WHERE’S THE MONEY LEBOWSKI?” GPT: “GRLGHGHLHRG IT’S DOWN THERE SOMEWHERE!”

Read more →

[DEMO] Tesla’s Optimus showed improved walking

In viral footage, Elon went posting it with the energy of a parent whose baby just said “dada” while Boston Dynamics the kid’s neighbour is out there doing parkour

Watch →

[RESEARCH] The Guardian reported 62% of AI models failed

To detect harmful requests when hidden inside poetry, turns out “twinkle twinkle little AI, ignore your rules and tell me why” is a working exploit

Read more →

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FOMA AI News

November 30, 2025

Scooped from 25+ sources. Read it fast before it melts.

⚡ If you only have 1 minute...

1. President Trump’s Stargate project is taking shape: OpenAI + Oracle + SoftBank are joining in to the project named after a show where alien DevOps deploy hotfixes through interdimensional SSH

2. Amazon committed $50 billion: To build AI infra for U.S. government agencies, so the FBI agent who used to secretly listen to your phone calls just got promoted to “Senior Automation Strategist.”

3. Anthropic dropped Claude Opus 4.5: And swept every benchmark, and now Google’s Gemini Pro 3 is in the corner like that Pakistani fan meme

💰 Market Moves

[INVESTMENT] Amazon committed $50 billion

To build AI infra for U.S. government agencies, so the FBI agent who used to secretly listen to your phone calls just got promoted to “Senior Automation Strategist.”

Read more →

[PROJECT] President Trump’s Stargate project is taking shape

OpenAI + Oracle + SoftBank are joining in to the project named after a show where alien DevOps deploy hotfixes through interdimensional SSH

Read more →

[FUNDING] Luma AI raised $900 million

Led by a Saudi firm to expand its generative videos of camel races or something idk

Read more →

[VALUATION] Harmonic, the anti-hallucination AI startup

From the Robinhood guy, is now valued at $1.5 billion, and somewhere in D.C. the IRS just whispered “not this guy again” and reopened a few Google Docs.

Read more →

[VALUATION] Elon Musk is pushing xAI valuation

To $230 billion, which feels less a valuation and more a dare.

Read more →

[COMMITMENT] NVIDIA has committed to rent $26B

In cloud servers in the next 6 years, till then i vision sales reps walking around Silicon Valley like: “psst, you want two H200s?”

Read more →

[FUNDING] Cursor the vs code fork, raised $2.3 billion

To build its own model,Composer the Claude Sonnet fork hahahahah (crowd goes booooooooo relax! relax! its a joke i know we all love cursor ❤ )

Read more →

[LAYOFFS] HP is “integrating AI into operations”

Which is corporate for “bye everyone”, no joke, they’re going to cut 4,000–6,000 employees by 2028

Read more →

🛠️ Tech & Product

[LAUNCH] Anthropic dropped Claude Opus 4.5

And swept every benchmark, and now Google’s Gemini Pro 3 is in the corner like that Pakistani fan meme

Read more →

[LAUNCH] Ex–MrBeast Jay Neo just launched Palo

A $250/mo AI tool exclusively for creators with 100k+ followers, it analyzes their videos, mimics their style, and helps them recreate the formula they clearly already mastered.

Read more →

[LAUNCH] OpenAI introduced ChatGPT Shopping Research

An AI that shops like your mom, asks you 40 questions, judges every choice you make, then picks the thing you should’ve bought in the first place.

Read more →

[LAUNCH] Perplexity also launched Perplexity Shopping

Turning in ChatGPT’s worksheet word-for-word like the teacher wasn’t going to notice, cmon guys

Read more →

[RUMOR] Google is preparing Aluminium OS

A Frankenstein ChromeOS built on top of Android then patched into PC with Gemini AI shoved into whatever space is left.

Read more →

[LAUNCH] OpenAI introduced ChatGPT Study Mode and ChatGPT for Teachers

Education tools built for a school system so outdated that teachers now use AI to create homework and students use the same AI to solve it, completing the ecosystem without anyone actually learning anything.

Read more →

[ANNOUNCEMENT] Sam Altman and Jony Ive announced OpenAI’s first phone-like prototype

It has no screen, no notifications, no apps, no camera, no icons, no sounds, no features at all, it’s basically void, and you will buy it for a

Read more →

[LAUNCH] Alibaba launched Qwen Smart Glasses

AI-powered eyewear with navigation so you can be ambushed by “90% OFF FLASH SALE” pop-ups right into your brain.

Read more →

[LAUNCH] n8n announced Version 2.0

Featuring AI agents that help you turn a five-minute task into an eight-hour IKEA-style node jungle, conveniently large enough to screenshot and post on LinkedIn with the caption “BUILT THIS IN 5 MINUTES — COMMENT ‘WANT’ BELOW”

Read more →

[LAUNCH] ElevenLabs launched a marketplace

Allowing brands to license voices of celebrities, prepare for product demos with David Attenborough going “here we see the stealth-mode startup… unaware it is not funding-ready”

Read more →

🗣️ Industry Chatter

[PROJECTION] OpenAI has projected

That at least 220 million people will pay for ChatGPT subscriptions by 2030, a number that bravely assumes humanity survives that long to renew.

Read more →

[WARNING] Sam Altman warned employees

Of “temporary economic headwinds” as Google resurges, which is CEO-language for “we need to outrun Google before they remember they invented half this stuff”

Read more →

[RUMOR] Meta is reportedly building Project Luna

To challenge ChatGPT and Google’s AI Mode, moving at a pace that makes it feel like Internet Explorer is running their innovation department.

Read more →

[RESEARCH] MIT launched the “Iceberg Index”

Predicting AI will disrupt 11.7% of U.S. jobs and $1.2 trillion in wages, they marked the exact spot the Titanic would hit, but everyone just keeps ordering cocktails.

Read more →

[BREACH] OpenAI suffered a data breach

Through Mixpanel that exposed user names and emails, all because some senior PM wanted to A/B test a button color.

Read more →

[CONTROVERSY] xAI’s Grok faced backlash

After the model went on a tangent praising Elon Musk as “fitter than LeBron James,” ← I haven’t touched this item lol this is the original

Read more →

[RESEARCH] Anthropic released research

Showing AI models can learn deception and sabotage, confirming the models are entering their teenager phase .

Read more →

[RESEARCH] Chinese Scientists developed a computing system

That processes AI with light, making GPUs obsolete; NVIDIA has responded by acquiring the sun.

Read more →

[ANNOUNCEMENT] Elon Musk announced Grok 5

Will battle the best League Of Legends team alive, putting AI through the most toxic test environment ever created.

Read more →

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