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
- Can coding agents relicense open source through a “clean room” implementation of code? - 5th March 2026
- Something is afoot in the land of Qwen - 4th March 2026
- I vibe coded my dream macOS presentation app - 25th February 2026