19th December 2025
In 2025, Reinforcement Learning from Verifiable Rewards (RLVR) emerged as the de facto new major stage to add to this mix. By training LLMs against automatically verifiable rewards across a number of environments (e.g. think math/code puzzles), the LLMs spontaneously develop strategies that look like "reasoning" to humans - they learn to break down problem solving into intermediate calculations and they learn a number of problem solving strategies for going back and forth to figure things out (see DeepSeek R1 paper for examples).
— Andrej Karpathy, 2025 LLM Year in Review
Recent articles
- Mr. Chatterbox is a (weak) Victorian-era ethically trained model you can run on your own computer - 30th March 2026
- Vibe coding SwiftUI apps is a lot of fun - 27th March 2026
- Experimenting with Starlette 1.0 with Claude skills - 22nd March 2026