The Information Bottleneck

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About the show

Latest episodes

• John Platt (Google): AI for Climate and Science

  October 10, 2026 · 1 hr 13 min

  John Platt is a Google Fellow and leads the Applied Science team at Google Research, the group working on climate and science. He's also the person behind SMO and Platt scaling. In this episode, we talk with him about how Google decides…

• Yuandong Tian on Recursive Self-Improvement

  October 5, 2026 · 58 min

  Yuandong Tian spent many years at Meta FAIR and recently left to co-found Recursive Superintelligence, a company building AI that improves itself. In this episode, he tells us why. We start with his work on computer Go, where he built…

• Chris Manning: Language Is the Real Unlock for Intelligence

  September 27, 2026 · 56 min

  Chris Manning is a legend in NLP. He's a professor of linguistics and computer science at Stanford and ran the Stanford AI Lab. His course CS224N, Natural Language Processing with Deep Learning, is where a whole generation of researchers…

• Why AI Still Can't See wtih Andrew Dai

  September 24, 2026 · 58 min

  Andrew Dai spent over a decade at Google Brain and DeepMind, where he co-wrote the 2015 paper that introduced language model pre-training followed by fine-tuning, and later co-led pre-training data for Gemini. He's now co-founder and CEO…

• Can AI Replace Doctors? Zachary Lipton on the Future of Healthcare and AI

  September 21, 2026 · 1 hr 31 min

  Zachary Lipton is an associate professor at Carnegie Mellon University and a co-founder of Abridge, a healthcare AI company (and a jazz saxophonist!). His research spans machine learning, healthcare, and the broader impact of AI. In this…

• Sara Hooker on the End of Static AI

  September 16, 2026 · 1 hr 36 min

  What comes after scaling? We talk with Sara Hooker, co-founder and CEO of Adaptation Lab, about why the next generation of AI may look very different from today's static models. Sara argues that models should continuously adapt to new…

• Tiny Recursive Models Beat the Giants - Alexia Jolicoeur-Martineau (Microsoft)

  September 15, 2026 · 52 min

  Alexia Jolicoeur-Martineau is a Principal Researcher at Microsoft and the author of "Less is More: Recursive Reasoning with Tiny Networks," the paper behind the Tiny Recursive Model that hit about 45% on ARC-AGI-1 with a fraction of the…

• Continual Learning Is the Next Bottleneck | Rohan Anil (Core Automation )

  September 10, 2026 · 1 hr 11 min

  Rohan Anil spent eleven and a half years at Google, where he went from writing memory allocators to large-scale linear solvers, then optimization at Google Brain, where he co-developed distributed Shampoo and led optimization for PaLM and…