Adaptivity in Machine Learning with Samory Kp...

In this episode, Sid Pardeshi, co-founder and CTO of Blitzy, joins us to discuss building autonomous development systems able to deliver production-ready software at enterprise scale. Sid contrasts AI-assisted coding with end-to-end autonomy, arguing that “code is a commodity” an ...  Show more

In this episode, Sebastian Raschka, independent LLM researcher and author, joins us to break down how the LLM landscape has changed over the past year and what is likely to matter most in 2026. We discuss the shift from raw model scaling to reasoning-focused post-training, infere ...  Show more

Over the past several years, we have seen many success stories in machine learning brought about by deep learning techniques. While the practical success of deep learning has been phenomenal, the formal guarantees have been lacking. Our current theoretical understanding of the ma ...  Show more

How Zack went from being a musician to professor, how medical applications of Machine Learning are developing, and the challenges of counteracting bias in real world applications. Zachary Chase Lipton is an assistant professor of Operations Research and Machine Learning at Carneg ...  Show more

From ChatGPT to self-driving cars, AI is everywhere these days – but its rollout hasn’t always been entirely smooth. Tom Griffiths, PhD, a professor of psychology and computer science at Princeton University, talks about how artificial intelligence works, how AI differs from huma ...  Show more

<span style="font-weight: 400;">Sam Harris speaks with Jeff Hawkins about the nature of intelligence. They discuss how the neocortex creates models of the world, the role of prediction in sensory-motor experience, cortical columns, reference frames, thought as movement in conc ...