Boring AI News

The Expensive-Loop Problem

Published 14 October 2026

Real-world work often involves slow, costly, and limited feedback. Succeeding in these expensive-loop domains requires theory-building, proxy management, resource budgeting, and diagnosing failures that cheap, deterministic training loops do not teach.

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Read the original on lesswrong.com →

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