Podcast

Malleable software and human agency

A conversation with Geoffrey Litt, design engineer at Notion, on shaping software like clay

Nov 14, 2025 • Imbue

1:32:07

From lawless spaces to true liberty: rethinking AI's role in society

Who will actually hold power in the age of intelligent machines?

Aug 5, 2025 • Kanjun Qiu and Matt Boulos

1:38:37

Rylan Schaeffer, Stanford: Investigating emergent abilities of LLMs

Rylan Schaeffer is a PhD student at Stanford studying the engineering, science, and mathematics of intelligence.

Sep 18, 2024 • Imbue

1:02:51

Ari Morcos, DatologyAI: Leveraging data to democratize model training

Ari Morcos is the CEO of DatologyAI, which makes training deep learning models more performant and efficient by intervening on training data.

Jul 11, 2024 • Imbue

1:34:19

Percy Liang, Stanford: How foundation models work

Percy Liang is an associate professor of computer science and statistics at Stanford.

May 9, 2024 • Imbue

1:01:55

Seth Lazar, Australian National University: The political philosophy of AI

Seth Lazar is a professor of philosophy at the Australian National University, where he leads the Machine Intelligence and Normative Theory (MINT) Lab.

Mar 12, 2024 • Imbue

1:55:45

Tri Dao, Stanford: FlashAttention and efficient training

Tri Dao is a PhD student at Stanford, co-advised by Stefano Ermon and Chris Re.

Aug 9, 2023 • Imbue

1:20:29

Jamie Simon, UC Berkeley: Theoretical principles for deep neural networks

Jamie Simon is a fourth-year physics Ph.D.

Jun 22, 2023 • Imbue

1:01:54

Bill Thompson, UC Berkeley: How cultural evolution shapes knowledge acquisition

Bill Thompson is a cognitive scientist and assistant professor at UC Berkeley.

Mar 29, 2023 • Imbue

1:15:24

Ben Eysenbach, CMU: Designing simpler, more principled RL algorithms

Ben Eysenbach is a Ph.D.

Mar 23, 2023 • Imbue

1:45:56

Jim Fan, NVIDIA: Foundation models for embodied agents, scaling data, and why prompt engineering will become irrelevant

Jim Fan is a research scientist at NVIDIA and got his PhD at Stanford under Fei-Fei Li.

Mar 9, 2023 • Imbue

1:26:45

Sergey Levine, UC Berkeley: Bottlenecks to generalization in reinforcement learning

Also: why simulation is doomed to succeed, and how to pick good research problems

Mar 1, 2023 • Imbue

1:34:49

#nojs-banner { position: fixed; bottom: 0; left: 0; padding: 16px 16px 16px 32px; width: 100%; box-sizing: border-box; background: red; color: white; font-family: -apple-system, "Segoe UI", Roboto, Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol"; font-size: 13px; line-height: 13px; } #nojs-banner a { color: inherit; text-decoration: underline; } This site requires JavaScript to run correctly. Please turn on JavaScript or unblock scripts