Recursive Model Improvement — Lee Robinson, Cursor, SpaceXAI

Lee Robinson discusses the future of Cursor and AI-native software development.

Speaker:
Lee Robinson — ML, Model Behavior, Cursor

Model research and personality at Cursor. Previously Vercel.

X: https://x.com/leerob
LinkedIn: https://www.linkedin.com/in/leeerob/
GitHub: https://github.com/leerob
Website: https://leerob.com

Timestamps

0:37 - Introduction and recursive model improvement overview
1:55 - The two-loop training framework (inner and outer loops)
2:33 - Progress and success of Composer 2.5
4:31 - Improving the outer loop with user feedback
5:40 - Climbing the inner loop with high-quality evals
6:52 - Solving reward hacking in public benchmarks
8:27 - Scaling training with ambitious problems
9:53 - New learning methods: Teacher-student textual feedback
11:34 - Scaling compute infrastructure with SpaceX and Colossus
13:06 - Understanding compute allocation in model training
15:28 - Agent-based automation and research efficiency
18:30 - The recursive future: Models training models