Looping models too big a performance gain to ignore, but monitoring lags, says AI commentator

scaling01 · x · 2026-10-13

Responding to a question about whether Anthropic would ever ship looping models, @scaling01 argues that if Anthropic maintains its lead (as with the rumored Opus 5.5), there's no reason not to adopt looping once monitoring catches up — and that the performance gain is ultimately too large to leave on the table long-term. The exchange touches on the tension between a frontier inference paradigm and current safety/monitoring tooling.

Original post →

More from Models

Models channel →