Ethan Dyer and I have started a new team at Anthropic — and we’re hiring! Our team is organized around the north star goal of building an AI scientist: a system capable of solving the long-term reasoning challenges and core capabilities needed to push the scientific

We’re launching a research preview of Codex: a cloud-based software engineering agent that can work on many tasks in parallel. Rolling out to Pro, Enterprise, and Team users in ChatGPT starting today. chatgpt.com/codex

some thoughts on human-ai relationships and how we're approaching them at openai it's a long blog post -- tl;dr we build models to serve people first. as more people feel increasingly connected to ai, we’re prioritizing research into how this impacts their emotional well-being.

Excited to share this work has been accepted as an Oral at #icml2025 -- looking forward to seeing everyone in Vancouver, and an extra thanks to my amazing collaborators for making this project so much fun to work on :)

New Anthropic Research: Project Vend. We had Claude run a small shop in our office lunchroom. Here’s how it went.

🚨New paper! We know models learn distinct in-context learning strategies, but *why*? Why generalize instead of memorize to lower loss? And why is generalization transient? Our work explains this & *predicts Transformer behavior throughout training* without its weights! 🧵 1/

👋 Attending #ICML2025 next week? Don't forget to check out work involving our researchers!

Excited to present this work in Vancouver at #ICML2025 today 😀 Come by to hear about why in-context learning emerges and disappears: Talk: 10:30-10:45am, West Ballroom C Poster: 11am-1:30pm, East Exhibition Hall A-B # E-3409

Come chat about this at the poster ICML Conference, 11:00-13:30 on Wednesday in the West Exhibition Hall #W-902!

1/N I’m excited to share that our latest OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world’s most prestigious math competition—the International Math Olympiad (IMO).

9/N Still—this underscores how fast AI has advanced in recent years. In 2021, my PhD advisor Jacob Steinhardt had me forecast AI math progress by July 2025. I predicted 30% on the MATH benchmark (and thought everyone else was too optimistic). Instead, we have IMO gold.

I’m building a new team at Google DeepMind to work on Open-Ended Discovery! We’re looking for strong Research Scientists and Research Engineers to help us push the frontier of autonomously discovering novel artifacts such as new knowledge, capabilities, or algorithms, in an

Success has many fathers and failure is an orphan. Of many parents of the LLM reasoning breakthrough, there is an important one whose name isn’t featured in the public record.. A certain Francis Song once wrote a file called qstar dot py. No 🧵, just IMO it ought to be known.

story wouldn't be complete without a shoutout to hunter Karl Cobbe Vineet Kosaraju for writing the second and more usable (in more ways than one) version!

1/n I’m thrilled to share that our OpenAI reasoning system scored high enough to achieve gold 🥇🥇 in one of the world’s top programming competitions - the 2025 International Olympiad in Informatics (IOI) - placing first among AI participants! 👨‍💻👨‍💻