🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Checkout Generative Hierarchical Materials Search (GenMS) – a framework for generating crystal structures from natural language. Website: generative-materials.github.io Paper: arxiv.org/abs/2409.06762

I used ADTool to conduce the exploration x.com/FlowersINRIA/s… @itsjoshsurely Papalopulu Lab Victoria Mochulska 🇺🇦 Hiro Eto Ina Sonnen

🚨Our new #ICLR2025 paper presents a unified framework for intrinsic motivation and reward shaping: they signal the value of the RL agent’s state🤖=external state🌎+past experience🧠. Rewards based on potentials over the learning agent’s state provably avoid reward hacking!🧵

🤖 !! Model-free agents can internally plan !! 🤖 In our ICLR 2025 paper, we interpret a model-free RL agent and show that it internally performs a form of planning resembling bidirectional search.

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: 🧠 Agentic Tree Search (open-ended idea exploration) 💡

進化したAIサイエンティスト、「The AI Scientist-v2」を公開 AIが完全自動で科学論文を生成するAIサイエンティストの改訂版、The AI Scientist-v2を公開しました。 論文：pub.sakana.ai/ai-scientist-v… GitHub：github.com/SakanaAI/AI-Sc… 昨年8月のAI Scientist-v1から、以下の点で大きく進歩しました。

🔥Our paper PhyloLM got accepted at ICLR 2025 !🔥 In this work we show how easy it can be to infer relationship between LLMs by constructing trees and to predict their performances and behavior at a very low cost with Stefano Palminteri (@stepalminteri.bsky.social) and Pierre-Yves Oudeyer ! Here is a brief recap ⬇️

Generative AI is a cultural transmission technology: it plays a growing role in generation, selection and transmission of ideas/opinions in human society 🧠🔄🌐 And yet we understand very little of this dynamics at this point 🤔❓ A step forward is our #ICLR2025 paper !👇

New Paper: Continuous Thought Machines 🧠 Neurons in brains use timing and synchronization in the way that they compute, but this is largely ignored in modern neural nets. We believe neural timing is key for the flexibility and adaptability of biological intelligence. We

I'll be at RLDM this week to present our new paper: WorldLLM 😃 In the same spirit as our previous works — e.g. GLAM, MAGELLAN... — which investigate how to ground LLMs through interactions with external environments, WorldLLM takes a deep dive into the world modeling aspect.

📰 Check out the full paper here: arxiv.org/abs/2506.06725 Don't hesitate to reach out if you want to discuss WorldLLMs or RL for grounding LLMs! Or come see us at the poster session on Thursday!