Chris Lu
@_chris_lu_
Research @OpenAI Prev: DPhil Student w/ @j_foerst @FLAIR_ox, @UniofOxford, RS Intern @SakanaAILabs @DeepMind and RS @CovariantAI
ID: 2887032186
https://chrislu.page 02-11-2014 05:55:28
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Accelerating scientific discoveries and helping cure diseases might be the most profound purpose of AI. Thrilled to introduce our Google AI Google DeepMind Google Cloud AI co-scientist system, which I believe is an important milestone towards this. Blog -
Super excited to share đ§ MLGym đŠŸ â the first Gym environment for AI Research Agents đ€đŹ We introduce MLGym and MLGym-Bench, a new framework and benchmark for evaluating and developing LLM agents on AI research tasks. The key contributions of our work are: đčïž Enables the
Can AI Improve Itself? In an interview with Machine Learning Street Talk, co-first authors of âThe AI Scientistâ paper, Chris Lu, Cong Lu, and Robert Lange share their views on the recent and future development of Self-Improving AI. Watch the full podcast on YouTube â youtu.be/1kwbp8hRRfs
Introducing The AI Scientist-v2, which produced the 1st fully AI-generated paper to pass peer review at a workshop level (at ICLR 2026 2025)! Tech Report: pub.sakana.ai/ai-scientist-v⊠GitHub: github.com/SakanaAI/AI-Sc⊠V2 adds: đ§ Agentic Tree Search (open-ended idea exploration) đĄ
One promising direction is combining ideas from AlphaEvolve and the Darwin Gödel Machine. Imagine a self-referential system improving itself even at the lowest algorithmic levels at *scale* AlphaEvolve: deepmind.google/discover/blog/⊠Darwin Gödel Machine: arxiv.org/abs/2505.22954
Antiviral therapy design is myopic đŠ đ optimised only for the current strain. That's why you need a different Flu vaccine every year! Our #ICML2025 paper ADIOS proposes "shaper therapies" that steer viral evolution in our favour & remain effective. Work done Foerster Lab for AI Research đ§”đ