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📢New conference where AI is the primary author and reviewer! agents4science.stanford.edu Current venues don't allow AI-written papers, so it's hard to assess the +/- of such works🤔 #Agents4Science solicits papers where AI is the main author w/ human advisors. 💡Initial reviews by

Action chunking works really well in imitation learning, and is essential to learning good BC policies in robotics. Can/should we apply the same idea in RL? We find that RL in the action chunk space, when done right (we call it ✨Q-chunking ✨), can be highly efficient🧵👇

Kimi!

A question that had bothered us for a while: What is reasoning in LLMs, really? Everyone talks about it—but how should we define, model, and improve it, systematically? Excited to share our ICML paper: "BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language

Most AI memory systems forget too easily. Meet MIRIX — a next-gen memory architecture that actually remembers. Modular & multi-agent, MIRIX blends six memory types: → Core, Episodic, Semantic, Procedural, Resource, Knowledge Vault On real-world tasks: 🖥️ ScreenshotVQA →

Curious how Kimi K2 works under the hood? 🚀 An infra engineer from the Kimi team just shared a deep dive into its architecture—packed with brilliant design insights. A must-read for tech enthusiasts! 👇

Testing Grok AI companions... Turns out Ani speaks Chinese too!