Interconnects AI

Description

Knowledge wants to be free. Sharing my knowledge and opinions on the frontier of AI. Open models, RLVR, post-training, RLHF, and everything in between. Nathan Lambert is the founder of a stealth AI lab and currently writing Interconnects AI, a well read technical newsletter on AI models and research. He works to increase transparency and understanding of current AI models and systems. He was recently a Senior Research Scientist and post-training lead at the Ai2 focusing on building open language models. His writing accrues millions of views annually, is the author of the reference textbook on reinforcement learning from human feedback (RLHF), is well-known for his advocacy of American leadership in open-source AI, and has published numerous award winning pieces of scientific work. Previously, he helped build an RLHF research team at HuggingFace and received his PhD from the University of California, Berkeley working at the intersection of machine learning and robotics.

Industry

podcast, substack, youtube