All Episodes
The Information Bottleneck — 37 episodes
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