New finding: AI-generated tokens raise loss once models pass Chinchilla-optimal data ratios

gleech · x · 2026-10-02

New research quantifies synthetic-data mixing: for data-starved models (under 10 human tokens per parameter), adding AI-generated tokens lowers loss on human text. But from Chinchilla-optimal (20 tokens/param) onward, adding AI tokens raises loss almost immediately, while human tokens keep lowering it — synthetic data's value depends heavily on how data-rich the model already is.

Related event: 800-Model Study: AI-Generated Text in Web Corpora Hurts Pretraining(5 posts)→

Original post →

More from Research

Research channel →