Cursor

1d ago

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 ChatGPT 09:22 - Archetypes of research managers 11:56 - Was OpenAI inspired by Bell Labs? 16:54 - The absence of value functions 18:23 - Continual learning 21:09 - Brittle generalization 24:05 - Co-training generators and verifiers, GANs 27:06 - John’s personal use of AI for research 28:54 - Day in the life 33:01 - Slowdowns in consequential ML ideas 36:21 - "Peer review" within the labs 39:19 - Distribution shift in researchers 43:33 - Future of RL 45:33 - Will the labs coordinate if the world needs them to? 44:46 - Forecasting ills in AGI and engineering 47:53 - Thinking Machines

Jul 17

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. 00:15 Why Patrick wrote his first startup in Smalltalk 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

May 30

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.