Composability helps understand variance in agent workflows
willcb · x · 2026-08-30
Willcb noted that the key benefit of the discussed framework is 'composability,' allowing developers to understand whether variance explodes or concentrates when orchestrating multiple agents. He added that this is also a workable framing for practical alignment, enabling precise measurement of judgments against human baselines at intervention points.
Related event: AI Calibration: An Overlooked Problem Behind Multi-Agent Variance(3 posts)→
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