Lessons from Eric Jang

Eric Jang is an AI researcher focused on robotic manipulation, large scale deep learning, and the path to artificial general intelligence.

Lessons from Phil Trammell

Philip Trammell is an economist at Stanford University and Epoch AI, focusing on the intersection of economic growth theory, artificial intelligence, and global prioritization.

Lessons from Scott Chacon

Scott Chacon is a software developer and entrepreneur who co founded GitHub, a platform that standardized how the world collaborates on code.

Lessons from Dmitri Dolgov

As Waymo's co CEO, Dmitri Dolgov turned Google's self driving project from an experiment into a commercial ride hailing business. He argues that full autonomy requires verifiable AI systems rather than pure end to end learning.

Daily Digest - 2026-07-26

A good mental model for staying calm and making decisions when your team is under extreme pressure. Software teams often panic or retreat into busywork when hit by budget cuts or shifting roadmaps.

Daily Digest - 2026-07-25

Explains why tech leaders are backing open-weight models to turn AI into a cheap commodity instead of fearing it as an existential threat.

Lessons from Chieh Huang

Chieh Huang launched the mobile gaming studio Astro Ape before co founding Boxed, an online bulk retailer that adapted the warehouse club model for smartphones.

Lessons from Adam Brown

Adam Brown is a theoretical physicist at Stanford and an AI research lead at Google DeepMind. He studies everything from the fate of an accelerating universe to the mathematical reasoning limits of large language models.

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