Applied AI·How models work
the industry kept betting on bigger training runs because quality improved predictably with parameters, data and compute together.
Scaling laws
Draft summary, pending review
Empirical findings that model quality improves predictably as you increase parameters, data and compute together. They explain the industry's confidence that bigger training runs would keep paying off, and their limits explain the shift to test-time compute.