23rd December 2024
There’s been a lot of strange reporting recently about how ‘scaling is hitting a wall’ – in a very narrow sense this is true in that larger models were getting less score improvement on challenging benchmarks than their predecessors, but in a larger sense this is false – techniques like those which power O3 means scaling is continuing (and if anything the curve has steepened), you just now need to account for scaling both within the training of the model and in the compute you spend on it once trained.
Recent articles
- OpenAI’s accidental cyberattack against Hugging Face is science fiction that happened - 22nd July 2026
- A Fireside Chat with Cat and Thariq from the Claude Code team - 21st July 2026
- Kimi K3, and what we can still learn from the pelican benchmark - 16th July 2026