Noam Brown

Noam Brown, a research scientist at Meta AI, co-created systems that outsmart humans in poker and diplomacy. He discusses how AI achieved superhuman levels in these strategic games, highlighting the psychological dynamics of high-stakes poker. Brown explores the interplay between AI and human decision-making, emphasizing emotional engagement and trust in negotiations. He also delves into the future of AI in gaming, particularly its impact on non-playable characters and the ethical implications of replicating human-like decision processes.

Join Noam Brown, an OpenAI expert in deep reinforcement learning known for his poker-playing AI, and Hunter Lightman, a developer of O1, as they dive into the groundbreaking O1 model. They discuss the blend of LLMs and reinforcement learning, revealing how O1 excels at math and coding challenges. Discover insights on problem-solving methods, iterative reasoning, and the surprising journey from doubt to confidence in AI. With exciting applications like the International Olympiad in Informatics and beyond, the future of reasoning in AI seems bright!

Noam Brown joins host Pieter Abbeel to discuss solving poker and Diplomacy with AI. Subscribe to the Robot Brains Podcast today | Visit therobotbrains.ai and follow us on YouTube at TheRobotBrainsPodcast and Twitter @therobotbrains. Hosted on Acast. See acast.com/privacy for more information.

Noam Brown is a research scientist at FAIR. During his Ph.D. at CMU, he made the first AI to defeat top humans in No Limit Texas Hold 'Em poker. More recently, he was part of the team that built CICERO which achieved human-level performance in Diplomacy. In this episode, we extensively discuss ideas underlying both projects, the power of spending compute at inference time, and much more.

Dr. Noam Brown, Meta AI Research Scientist, discusses his award-winning no-limit poker-playing algorithms, game theory integration, real-world AI implications, and choosing big tech research over academia. He explores AI advancements in poker and diplomacy, applying AI techniques to self-driving cars, and recommendations for aspiring poker AI developers.