AI Calibration: An Overlooked Problem Behind Multi-Agent Variance

Calibration remains a deeply under-studied problem whose importance is growing, especially in multi-agent workflows where it provides the composability needed to know whether system variance converges or diverges. The discussion also frames AI's goal as eliminating low-entropy drudgery so humans can focus on high-entropy creative work.

2026-08-30 ~ 2026-08-30 · 3 related posts