CLAIM-2026-08-30-06

Roughly 2,400 training examples and about 60 hours of optimization brought Claude Sonnet 5 near production alignment scores — two to three orders of magnitude less data than Tulu 3 (300,000 preference pairs) or Llama 2-Chat (1.4 million comparisons).

Why it matters

Data efficiency at that level moves an alignment fix from a lab programme to a sprint ticket, which is when deployers start doing it unsupervised.

Sources

• alignmentsc2026automated