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Scaling AI research agents is key to tackling some of the toughest challenges in the field. But what's required to scale effectively? It turns out that simply throwing more compute at the problem isn't enough. We break down an agent into four fundamental components that shape

Sota Singaporean AI researcher list 👇 I made some list two years ago and thought it's time to revisit it with some new names (in no order and no elaborations/cot this time) 1) isaac ong from Anthropic 2) alyssa loo from Anthropic 3) Jenny Zhang from UBC 4) Shawn Tan from

The automation of innovation is within reach! Delighted that my RAAIS talk is now available for anyone to watch, alongside an excellent blogpost summary by the inimitable Nathan Benaich.

Since 1990, we have worked on artificial curiosity & measuring „interestingness.“ Our new ICML paper uses "Prediction of Hidden Units" loss to quantify in-context computational complexity in sequence models. It can tell boring from interesting tasks and predict correct reasoning.

I've now been in research long enough to Schmidhuber Schmiduber!! Life goal achieved. ✅

Thrilled to introduce Foundation Model Self-Play, led by Aaron Dharna. FMSPs combine the intelligence & code generation of foundation models with the curriculum of self-play & principles of open-endedness to explore diverse strategies in multi-agent games, like the one below 🧵👇

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

✨Introducing SENSEI✨ We bring semantically meaningful exploration to model-based RL using VLMs. With intrinsic rewards for novel yet useful behaviors, SENSEI showcases strong exploration in MiniHack, Pokémon Red & Robodesk. Accepted at ICML 2025🎉 Joint work with Christian Gumbsch 🧵

🚀 Excited to announce our workshop “Embodied World Models for Decision Making” at #NeurIPS2025! 🎉 Keynote speakers, panelists, and content are now live! Check out: 👉 embodied-world-models.github.io #WorldModels #RL #NeurIPS #NeurIPS2025 #neuripsworkshop #workshop

Becoming an RL diehard in the past year and thinking about RL for most of my waking hours inadvertently taught me an important lesson about how to live my own life. One of the big concepts in RL is that you always want to be “on-policy”: instead of mimicking other people’s

I'll be giving a talk at this exciting workshop tomorrow at ICML and a panel after (with great panelists). Please stop by and say hello! #ICML2025

Do you have a PhD (or equivalent) or will have one in the coming months (i.e. 2-3 months away from graduating)? Do you want to help build open-ended agents that help humans do humans things better, rather than replace them? We're hiring 1-2 Research Scientists! Check the 🧵👇

A great honor to have our book Why Greatness Cannot Be Planned debut as a brand new Japanese edition! Thank you Sakana AI for calling it out! Joel Lehman and I are thrilled to share our ideas with Japan, and special thanks to the tireless efforts of Mizuki Oka/岡瑞起 and 鈴木 健

My lab is Hiring! I am looking for a research engineer (pre doc) or a postdoc with strong skills in computer vision and state estimation to join our TRUSTLINE project. More info: imperial.ac.uk/jobs/search-jo…

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

1/ 🕵️ Algorithm discovery could lead to huge AI breakthroughs! But what is the best way to learn or discover new algorithms? I'm so excited to share our brand new @rl_conference paper which takes a step towards answering this! 🧵

All the reviews of all my NeurIPS submissions are of high quality. They're not all positive, but they're all courteous and constructive, and nothing looks LLM-generated.

Jenny Zhang My reviews have been constructive across the board; meaningful feedback from all 4. It's my first major conference submission too, so I was mentally prepared to have everything either torn to shreds or to be fed AI slop but I've been pleasantly surprised😃