Cong Lu (@cong

Cong Lu

731 posts

Cong Lu

@cong_ml

London, England

Joined October 2019

Pinned
Cong Lu
@cong_ml
2h
Recursive just came out of stealth, and the team has been cooking 🔥 Our first results: an automated AI research system that can improve AI across 3 very different settings across training and GPU kernel optimization. recursive.com/articles/first…
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Cong Lu
@cong_ml
Feb 18, 2025
Extremely happy to share that I've joined @GoogleDeepMind as a Research Scientist on the Open-Endedness Team! Looking forward to seeing old friends again and making new ones, do let me know if you are in London! 🫶
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Cong Lu
@cong_ml
Nov 11, 2025
Are you interested in Open-Endedness and AI for Science? 🧪 I'm hiring a Student Researcher at @GoogleDeepMind for a 6-month role. Join us to work on building agents capable of novel scientific discoveries! 🔬 Reach out if this sounds like you, and apply here 👇
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Cong Lu
@cong_ml
Apr 14, 2025
Our report for The AI Scientist-v2 is now on arXiv! 🎉
Sakana AI
@SakanaAILabs
Apr 14, 2025
Replying to @SakanaAILabs
Our technical report: “The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search” arxiv.org/abs/2504.08066
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Cong Lu
@cong_ml
Mar 14, 2023
RL agents🤖need a lot of data, which they usually need to gather themselves. But does that data need to be real? Enter *Synthetic Experience Replay*, leveraging recent advances in #GenerativeAI in order to vastly upsample⬆️ an agent’s training data! [1/N]
GIF
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Cong Lu
@cong_ml
Aug 5, 2025
It was incredible to work on embodied agent training in the Genie 3 world model as my first project at @GoogleDeepMind, and truly see the future of training generalist agents in unlimited environments!! Thanks so much to the team 🥰🥰
Google DeepMind
@GoogleDeepMind
Aug 5, 2025
Replying to @GoogleDeepMind
🔘 Accelerating agent research To explore the potential for agent training, we placed our SIMA agent in a Genie 3 world with a goal. The agent acts, and Genie 3 simulates a response in the world without knowing the objective. This is key for building more capable embodied
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Cong Lu
@cong_ml
May 30, 2025
Schmidhuber's Gödel Machine: AI "rewriting its code" if provably useful showed the dream of recursive self-improvement 🔄 Thrilled to share our practical realization, inspired by Darwinian evolution! Done with the amazing @jennyzhangzt, @shengranhu, @RobertTLange @jeffclune 😍
Sakana AI
@SakanaAILabs
May 30, 2025
Introducing The Darwin Gödel Machine: AI that improves itself by rewriting its own code sakana.ai/dgm The Darwin Gödel Machine (DGM) is a self-improving agent that can modify its own code. Inspired by evolution, we maintain an expanding lineage of agent variants,
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Cong Lu
@cong_ml
Nov 13, 2025
So excited to share our work on the new frontier for generally capable agents in 3D worlds!! Some of the most exciting showcases of agentic capabilities in the blog post, including on entire unseen Genie generated worlds 😜
Google DeepMind
@GoogleDeepMind
Nov 13, 2025
SIMA 2 is our most capable AI agent for virtual 3D worlds. 👾🌐 Powered by Gemini, it goes beyond following basic instructions to think, understand, and take actions in interactive environments – meaning you can talk to it through text, voice, or even images. Here’s how 🧵
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Cong Lu
@cong_ml
Apr 8, 2025
Delighted to share the full pre-print and 100% open source code for The AI Scientist-v2 🚀🚀 Tons of improvements enabling modern foundation models to come up with better ideas, conduct deeper and mor general experiments and write better papers! 👩‍🔬
Sakana AI
@SakanaAILabs
Apr 8, 2025
Introducing The AI Scientist-v2, which produced the 1st fully AI-generated paper to pass peer review at a workshop level (at @iclr_conf 2025)! Tech Report: pub.sakana.ai/ai-scientist-v… GitHub: github.com/SakanaAI/AI-Sc… V2 adds: 🧠 Agentic Tree Search (open-ended idea exploration) 💡
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Cong Lu
@cong_ml
Apr 26, 2025
Amazing to see the excitement in the community around open-endedness, world modeling and the automation of innovation at the #ICLR2025 keynote by @_rockt 🚀🚀
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Cong Lu
@cong_ml
Feb 23, 2024
🚨 Model-based methods for offline RL aren’t working for the reasons you think! 🚨 In our new work, led by @anyaasims, we uncover a hidden “edge-of-reach” pathology which we show is the actual reason why offline MBRL methods work or fail! Let's dive in! 🧵 [1/N]
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Cong Lu
@cong_ml
Apr 26, 2025
Towards the full automation of science at the open-endedness keynote by @_rockt!
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Cong Lu
@cong_ml
Aug 13, 2024
It’s been a dream of mine since I started in ML to see autonomous agents conduct research independently and discover novel ideas! 💡 Today we take a large step towards making this a reality. We introduce *The AI Scientist*, led together with @_chris_lu_ and @RobertTLange. [1/N]
Sakana AI
@SakanaAILabs
Aug 13, 2024
Introducing The AI Scientist: The world’s first AI system for automating scientific research and open-ended discovery! sakana.ai/ai-scientist/ From ideation, writing code, running experiments and summarizing results, to writing entire papers and conducting peer-review, The AI
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Cong Lu
@cong_ml
Jun 10, 2025
🚀Introducing “StochasTok: Improving Fine-Grained Subword Understanding in LLMs”!🚀 LLMs are incredible but still struggle disproportionately with subword tasks, e.g., for character counts, wordplay, multi-digit numbers, fixing typos… Enter StochasTok, led by @anyaasims! [1/]
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