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Mixpanel is live in the Replit MCP marketplace! Devs building on @Replit can pull product analytics into their agent workflows—no dashboard, no setup later, just data where you're building. See it in action at the London Hackathon on May 19. Register: events.mixpanel.com/hackatho…

You've been asking for this one... Now in preview: Codex in the ChatGPT mobile app. Start new work, review outputs, steer execution, and approve next steps, all from the ChatGPT mobile app. Codex will keep running on your laptop, Mac mini, or devbox. Video

First codex meetup in London! And since it is new feature Thursday, we learnt that Codex Mobile is coming in a few hours!

How Supercomputer works: 1. Access via browser or Telegram. No local setup 2. Describe your task 3. Orchestrates LLMs and image/video models. 4. Analyzes videos and audio thoroughly 5. Executes tasks end-to-end with 40+ tools 6. Learns from every run. Gets better on its own

Sanders and AOC introduced a bill to pause ALL AI data center construction. 300+ local bills filed. Half of planned 2026 data centers facing delays or cancellation. Each one brings billions to local economies. The people who say they want American jobs are trying to block the biggest job creation engine since the interstate highway system.

“We did the hardest thing in the history of American health care. We got the majority of American doctors to all voluntarily adopt a single technology platform.” NBC News on how that happened, what U.S. physicians actually do with OpenEvidence, and how partnerships with NEJM, JAMA, NCCN, and Wiley make it possible.

We’re partnering with the Gates Foundation, committing $200 million in grants, Claude credits, and technical support to programs in global health, life sciences, education, agriculture, and economic mobility. Read more: anthropic.com/news/gates-fou…

New course: Transformers in Practice. You'll get a practical view of how transformer-based LLMs work, so you can reason about their behavior, diagnose problems like slow inference, and make smarter decisions about deployment. This course is built in partnership with @AMD and taught by @realSharonZhou. You'll see how transformers generate text one token at a time, how the model decides which earlier words matter most when predicting the next one, and how techniques like quantization speed up inference on GPUs. This is not a video-only course; interactive visualizations throughout let you play with these concepts and build intuition that sticks. Skills you'll gain: - Understand why LLMs hallucinate, and RAG and chain-of-thought shape what they generate - Look inside the model to see how attention and layers combine to predict the next token - Diagnose inference bottlenecks and learn the techniques that speed up transformers on GPUs Join and understand what's really happening inside your LLMs: deeplearning.ai/courses/tran… Video

The new AI Camera Assistant* with Xperia Intelligence brings stories to life. Using subject, scene and weather, it suggests expressive options with adjustments of colour, exposure, bokeh, and lens for breathtaking photos*. sony.co.jp/en/xperia-1m8/s/ #SonyXperia #Xperia1VIII

I fully solved my 2nd Erdős Problem using ChatGPT-5.5-Pro - and then I verified the solution by formalizing it! Less than 2 days after solving my first Erdős Problem, after running Pro for a few hours I was able to elicit the solution, this time in analytic number theory! 🧵1/n

Meta just launched Incognito Chat with Meta AI - the world's first truly private way to chat with AI. But I had a lot of questions. How does it actually work? Isn't this contradictory to Meta's business model? What assurances do we have that this is airtight? I had a chance to speak to the Head of Whatsapp @wcathcart and Meta's VP of AI Products @vishalshahis to learn more. Video

正式开源 html-anything 🚀 1:1 让你感受全网爆火 Claude code 作者提的 HTML 效果！ 你的 Agent 现在可以将任何数据转为世界级设计水准的 HTML 🔥 历时 3 天，1万五千行代码！支持 75 套 Skills，9 种导出格式，支持所有的 code agent，包括 claude code、codex、openclaw、hermes 等💥地址见评论区 Video

Krishna Rao is the CFO of Anthropic, and this is his first podcast appearance. He joined the company two years ago when run-rate revenue was about $250M. Today it is $30B. He has helped raise ~$75B and is responsible for the procurement and allocation of compute. I feel lucky we get to hear what it is like to sit inside a company this consequential at a moment this pivotal. We discuss: - The cone of uncertainty - How he allocates compute across Trainium, TPUs, and GPUs - What investors misunderstand about model companies - Why the returns to frontier intelligence keep rising - Platform vs application and where Anthropic builds its own products - How Anthropic uses Claude internally I have asked my closing question about the kindest thing more than 500 times. Krishna's answer is one I have never heard before. Enjoy! Timestamps: 0:00 Intro 2:38 The Compute Canvas 6:51 The "Cone of Uncertainty" 11:58 Why the Returns to Frontier Intelligence Are So High 16:45 Recursive Self-Improvement 20:20 Scaling Laws 23:30 Sourcing $100 Billion in Compute 28:05 Platform vs. Application Strategy 32:52 Pricing Dynamics 38:48 How Anthropic’s Finance Team Uses Claude 43:24 Raising Capital & Overcoming Investor Skepticism 52:32 Public Perception, Risks, and Government Regulation 57:25 Mythos Release 1:12:33 What Could Derail the AI Revolution? 1:13:47 Biotech and Healthcare 1:15:31 The Kindest Thing Video

I’ve been looking forward to today (Thursday) for a few weeks now.