Explore every episode of the podcast Cursor
| Title | Pub. Date | Duration | |
|---|---|---|---|
| John Schulman on dead ends, scaling RL, and building research institutions | 17 Dec 2025 | 00:51:25 | |
A conversation with John Schulman on the first year LLMs could have been useful, building research teams, and where RL goes from here.00:00 - Speedrunning ChatGPT09:22 - Archetypes of research managers11:56 - Was OpenAI inspired by Bell Labs?16:54 - The absence of value functions18:23 - Continual learning21:09 - Brittle generalization24:05 - Co-training generators and verifiers, GANs27:06 - John’s personal use of AI for research28:54 - Day in the life33:01 - Slowdowns in consequential ML ideas36:21 - "Peer review" within the labs39:19 - Distribution shift in researchers43:33 - Future of RL45:33 - Will the labs coordinate if the world needs them to?44:46 - Forecasting ills in AGI and engineering47:53 - Thinking Machines | |||
| Patrick Collison on programming languages, AI, and Stripe's biggest engineering decisions | 17 Jul 2025 | 00:50:05 | |
Michael Truell (CEO of Cursor) sits down with Patrick Collison (CEO of Stripe) to discuss programming languages, the role of AI in programming, and building long-lasting software.
03:35 LISP chatbots 06:09 Good ideas from esoteric programming languages 09:12 Brett Victor and Dynamicland 16:37 Programming human organizations 20:28 A codebase's "Big Bang" moment and MongoDB 25:49 Rewriting Stripe 32:00 How do you, Patrick Collison, use AI? 38:25 Changes to GDP/TFP 41:56 Programming human biology 46:10 Unexpected beneficiaries of AI | |||
| Training superhuman coding models at Cursor | 30 May 2025 | 00:49:40 | |
What does it really take to train an AI to write great code? In this roundtable conversation, some of the founders and researchers at Cursor explore the process of building superhuman AI coding agents — from infinite context models and the best rewards to real-time RL and scaling to millions of environments.This is an inside look at some of the work behind Cursor and what AI-assisted coding might look like in the future. | |||