M4.7 - Empirical Training Scaling Laws and Compute-Optimal Allocation
A source-audited study of neural scaling experiments: measurement contracts, power laws, joint model-data loss surfaces, compute-optimal allocation, paper-contract comparison, fitting, and uncertainty.