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Plainlamp

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Notes from building Plainlamp: what we test, what we find and what we choose.

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Table of the eight best of the 24 decision models that answered; each read the 38 made-up descriptions five times. Right of 190, wrong kind taken, stopped though a kind fit, US$ per million calls: Decider V1.2 (chosen) 190, 0, 0, 4.3; d1-ultra 185, 0, 5, 6.7; Tev1 4B Experimental 185, 0, 5, 10.0; Mammoth 1 185, 0, 5, 22.6; Drex v1.5 185, 0, 5, 5.9; Mercury Decide 185, 0, 5, 4.3; Microsoft-Decision-1 185, 0, 5, 6.6; Drex Max 185, 0, 5, 13.1.

, 27 min read

We tested 27 decision models. One was right every time.

When people describe their document in their own words, a small AI model sorts the words into a kind. We tested 27 of these decision models on 38 made-up descriptions, most of them five times. One was right every time. A car insurance policy split the field. A second test, on 339 new descriptions, put the same model ahead of six of the ten closest models by a gap too big for chance, and no model got more right.