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
- On Calibration: An Overlooked Problem and Variance in Agent Composition — willcb · 2026-08-30
- Composability helps understand variance in agent workflows — willcb · 2026-08-30
- AI aims to reduce low entropy 'grind' to focus on high entropy creativity — willcb · 2026-08-30