The Information Bottleneck

We talk with Kyunghyun Cho, who is a Professor of Health Statistics and a Professor of Computer Science and Data Science at New York University, and a former Executive Director at Genentech, about why healthcare might be the ...

In this episode, we talk with Stefano Ermon, Stanford professor, co-founder & CEO of Inception AI, and co-inventor of DDIM, FlashAttention, DPO, and score-based/diffusion models, about why diffusion-based language models may...

Naomi Saphra, Kempner Research Fellow at Harvard and incoming Assistant Professor at Boston University, joins us to explain why you can't do interpretability without understanding training dynamics, in the same way you can't...

Stefano Soatto, VP for AI at AWS and Professor at UCLA, joins us to explore how the agentic era fundamentally redefines machine learning, from static train-and-test models to dynamic, interactive control systems. This shift u...

Tanishq Abraham , CEO and co-founder of Sophont.ai , joins us to talk about building foundation models specifically for medicine. Sophont is trying to be something like an OpenAI or Anthropic but for healthcare - training mo...

Anastasios Angelopoulos , Co-Founder and CEO of Arena AI (formerly LMArena), joins us to talk about why static benchmarks are failing, how human preference data actually works under the hood, and what it takes to be the "gold...