16th January 2025
[...] much of the point of a model like o1 is not to deploy it, but to generate training data for the next model. Every problem that an o1 solves is now a training data point for an o3 (eg. any o1 session which finally stumbles into the right answer can be refined to drop the dead ends and produce a clean transcript to train a more refined intuition).
— gwern
Recent articles
- Claude Fable 5.1 made me a really nice animated pelican - 1st September 2026
- Understanding ChatGPT Work - 30th August 2026
- Conceptual integrity and counting lines of code - 19th August 2026