Scaling Laws
The empirical curves that justify the capex on this site.
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Scaling laws (Kaplan 2020; Chinchilla 2022) show model loss falling predictably as compute, parameters and data grow together — the smooth curves that convinced investors trillion-dollar infrastructure was rational. Chinchilla corrected the recipe (more data per parameter); test-time compute added a second axis; the open question — whether pre-training returns are flattening — is the trillion-dollar debate, with Ilya Sutskever's 'age of scaling is over' remarks its sharpest statement.
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Record revisionato al 2026-01-15 — vedi Metodologia.