AIThe case for calibration as an objective for decision APIs
A commenter argues that calibration is the right objective for decision APIs in programs and multi-agent swarms because it is compositional: it carries across combined components.
TLDR
A commenter argues that calibration’s compositionality makes it the right objective for decision APIs used within larger systems, including programs and multi-agent swarms. In an earlier reply, they said composition helps explain when variance grows or concentrates as agents are used throughout a system.
Combined views
1.1K
1 Source, first seen 1d ago
The case for calibration as an objective for decision APIs
A commenter argues that calibration is the right objective for decision APIs in programs and multi-agent swarms because it is compositional: it carries across combined components.
TLDR
A commenter argues that calibration’s compositionality makes it the right objective for decision APIs used within larger systems, including programs and multi-agent swarms. In an earlier reply, they said composition helps explain when variance grows or concentrates as agents are used throughout a system.