On Calibration: An Overlooked Problem and Variance in Agent Composition
willcb · x · 2026-08-30
The author argues that calibration is a deeply under-studied problem whose importance grows daily. It emphasizes that the key benefit of calibration is composition, allowing us to understand whether variance blows up or concentrates when orchestrating multiple agents.
Related event: AI Calibration: An Overlooked Problem Behind Multi-Agent Variance(3 posts)→
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