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arxiv.org/abs/2505.22954

I'm so excited about StochasTok. It's such a simple and effective methods, leading to big win for sub-token understanding of LLMs, with very little loss in terms of code complexity, compute cost, or overall performance. Great work Anya Sims !

Excited to announce the final paper of my PhD!📢 A crucial piece of SFT/RL training is the availability of high-quality problem-solution data (Q, A). But what to do for difficult tasks where such data is scarce/hard to generate with SOTA models? Read on to find out

Very nice summary of the Darwin Gödel Machine in Fortune, and an interesting tie-in to Sam Altman's excellent recent blog post. fortune.com/2025/06/19/ope…

We are thrilled to announce our new publication in Science Advances: Gaia, an AI-powered protein search platform that brings genomic context into functional annotation. science.org/doi/10.1126/sc… Gaia enables rapid, scalable discovery of remote homologs across 131,000+ genomes —

🚨 new paper alert! science.org/doi/10.1126/sc… During my PhD, one of the most frustrating challenges was trying to interpret genes labeled as “hypothetical proteins.” 1/n

Very excited to share our latest work on Automated Design of Agentic Systems (ADAS) and Darwin Gödel Machine (DGM) with 机器之心 JIQIZHIXIN! Watch the interview: bilibili.com/video/BV1vJK8z… (in Chinese)

AI Improves at Improving Itself Using an Evolutionary Trick. My latest for IEEE Spectrum, on research by Jenny Zhang et al (University of British Columbia, Sakana AI). Thanks also Jürgen Schmidhuber, Zhengyao Jiang. Link in reply.

Most AI systems today follow the same predictable pattern: they're built for specific tasks and optimized for objectives rather than exploration. Meanwhile, humans are an open-ended species—driven by curiosity and constantly questioning the unknown. From inventing new musical

2025 is the year of open-endedness!

Nice summary, with coverage of the Darwin Gödel Machine. youtube.com/watch?v=C1kuCI…

If it’s not open-ended it can’t do what humans do.

AI Improves at Improving Itself Using an Evolutionary Trick: Researchers use evolutionary algorithms to enhance AI coding skills. Nice article published in IEEE Spectrum about the Darwin Gödel Machine (arxiv.org/abs/2505.22954), written by Matthew Hutson spectrum.ieee.org/evolutionary-a…

The first big part of my PhD research is out! Infinite thanks to Jeff Clune and Cong Lu for all their guidance on this project

Really excited to share our recent work combining open-ended foundation model innovation with the compeititive dynamics of self-play!! One of the ingredients towards creativity explosion? Led by Aaron Dharna, done together with Jeff Clune 🚀

An advanced version of Gemini with Deep Think has officially achieved gold medal-level performance at the International Mathematical Olympiad. 🥇 It solved 5️⃣ out of 6️⃣ exceptionally difficult problems, involving algebra, combinatorics, geometry and number theory. Here’s how 🧵

Opportunity of a lifetime to work in an incredible team!! 🚀🚀

Come work with us on helping agents reach unprecedented levels of autonomy :) We have a ridiculously cracked team and are pushing the bounds of AGI with awesome folks like Roberta Raileanu Oriol Vinyals Tim Rocktäschel Quoc Le Come join ~~ le rocket ship ~~

The workshop is continuing ... Roberta Raileanu gave an incredible talk about different ingredients on how to build AI scientist agent and explained how current systems lag far behind human performance in terms of creativity and discovery #ACL2025

It was a pleasure to talk about progress and challenges on the path towards agents that can autonomously make scientific discoveries. I discussed some of our own work on MLGym, HypoGen, LLM-First Search and more. TL;DR: there is plenty of work ahead of us.