AnalysisAI ModelsNovember 4, 2026

Scaling law extrapolation prescribes quadrillion-parameter transformers

Read original source →qlabs.sh

Extrapolating the Baron et al. 2026 law to 5T tokens yields a compute-optimal parameter count ~7,000x Chinchilla's prescription at 10^29 FLOPs. With fixed data, loss keeps falling as compute grows if epochs, ensemble members, and weight decay scale too.

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