All Episodes
The Information Bottleneck — 76 episodes
What’s Left for Mathematicians? | Daniel Litt
The Political Economy of AI: Governance, Bias, and the Future | Andy Hall (Stanford/Anthropic)
John Platt (Google): AI for Climate and Science
Yuandong Tian on Recursive Self-Improvement
Chris Manning: Language Is the Real Unlock for Intelligence
Why AI Still Can't See wtih Andrew Dai
Can AI Replace Doctors? Zachary Lipton on the Future of Healthcare and AI
Sara Hooker on the End of Static AI
Tiny Recursive Models Beat the Giants - Alexia Jolicoeur-Martineau (Microsoft)
Continual Learning Is the Next Bottleneck | Rohan Anil (Core Automation )
World Models | John Langford (Microsoft AI Labs)
Which Tabular Model Should You Actually Use? | David Holzmüller (INRIA)
Why You Can't Just Rent 1,000 GPUs | Charles Frye (Modal)
Stella Biderman (EleutherAI) - Open Source, AI Safety, and Who We Can Trust
Why Deep Learning Finally Works on Tables | Frank Hutter (Prior Labs)
Surya Ganguli: The Physics of Intelligence
Text Diffusion Models with Brendan O'Donoghue (Google DeepMind)
Nathan Lambert: Inside Post-Training and the Open Model Fight
Daphne Koller - The Future of AI in Biology and Drug Discovery
RL Was Broken at Every Level - With Joseph Suarez (PufferAI)
The Model Found a Way Out - with Florian Brand (Prime Intellect)
Pierre-Carl Langlais on Building Models from Data You Can Account For
Dhruv Batra: The Browser Is a Robotics Problem - From Embodied AI at Meta to Web Agents at Yutori
How to Turn Research Into Billion-Dollar Companies, with Ion Stoica
Kaggle Grandmasters, Agent Skills, and Why Everyone Is Overfitting with Jean-Francois Puget (NVIDIA)
AI Agents and The Golden Age of Asking Questions with Dimitris Papailiopoulos (MSR/UW-Madison)
Why All Models Learn the Same Thing with Phillip Isola (MIT)
AI for Science with Qichao Hu (Molecular Universe / SES AI)
Infrastructure for AI at Scale - With Benny Chen (Fireworks AI)
Broken Peer Review, AI, and Worms — with Oded Rechavi
Will AI Take Our Jobs? With Alex Imas (Google/University of Chicago)
Why AI Benchmarks Are Lying to You - with Wenhu Chen (Meta/University of Waterloo)
Jürgen Schmidhuber - Part 2: JEPA, the Road to AGI, and Who Really Invented Modern AI
Jürgen Schmidhuber - World Models, RL, and the Year that changed AI (Part 1)
AI for Science and the Thermodynamics of Generative AI - with Max Welling (UvA, CuspAI)
After Math Falls, What's Next? with Julia Kempe (NYU/Meta)
Intelligence in an Open World - with Mengye Ren (NYU)
Language, Cognition, and the Limits of LLMs - with Tal Linzen (NYU/Google)
The Principles of Diffusion Models - with Jesse Lai (Sony AI)
Inside xAI, and the Bet on AI Math - with Christian Szegedy (Math Inc)
Reasoning Models and Planning - with Rao Kambhampati (Arizona State)
What Actually Matters in AI? - with Zhuang Liu (Princeton)
The Future of Coding Agents with Sasha Rush (Cursor/Cornell)
The Hidden Engine of Vision with Peyman Milanfar (Google)
Reinventing AI From Scratch with Yaroslav Bulatov
Why Healthcare Is AI's Hardest and Most Important Problem with Kyunghyun Cho (NYU)
Diffusion LLM & Why the Future of AI Won't Be Autoregressive - Stefano Ermon (Stanford /Inception)
Training Is Nothing Like Learning with Naomi Saphra (Harvard)
EP28: How to Control a Stochastic Agent with Stefano Soatto (VP AWS/ Pro. UCLA)
EP27: Medical Foundation Models - with Tanishq Abraham (Sophont.AI)
EP26: Measuring Intelligence in the Wild - Arena and the Future of AI Evaluation
EP25: Personalization, Data, and the Chaos of Fine-Tuning with Fred Sala (UW-Madison / Snorkel AI)
EP24: Can AI Learn to Think About Money? - with Bayan Bruss (Capital One)
EP23: Building Open Source AI Frameworks: David Mezzetti on TxtAI and Local-First AI
EP22: Data Curation for LLMs with Cody Blakeney (Datology AI)
EP21: Privacy in the Age of Agents with Niloofar Mireshghallah
EP20: Yann LeCun
EP19: AI in Finance and Symbolic AI with Atlas Wang
EP18: AI Robotics
EP17: RL with Will Brown
EP16: AI News and Papers
EP15: The Information Bottleneck and Scaling Laws with Alex Alemi
EP14: AI News and Papers
EP13: Recurrent-Depth Models and Latent Reasoning with Jonas Geiping
EP12: Adversarial attacks and compression with Jack Morris
EP11: JEPA with Randall Balestriero
EP10: Geometric Deep Learning with Michael Bronstein
EP9: AI in Natural Sciences with Tal Kachman
EP8: RL with Ahmad Beirami
EP7: AI and Neuroscience with Aran Nayebi
EP6: Urban Design Meets AI: With Ariel Noyman
EP5: Speculative Decoding with Nadav Timor
EP4: AI Coding
EP3: GPU Cloud
EP2: PeFT
EP1: Sampling