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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.

will brownWB
1 Source, 21d ago, first seen 21d ago

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.

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1 Source, first seen 21d ago

4 likes1 comments

Combined views

1.1K

1 Source, first seen 21d ago

4 likes1 comments

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1 Source

will brown@willcbthe compositionality of calibration is exactly why it's the right objective for decision APIs used in larger systems (programs, multi-agent swarms, etc)21d
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    1 Source

    will brown@willcbthe compositionality of calibration is exactly why it's the right objective for decision APIs used in larger systems (programs, multi-agent swarms, etc)21d
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