AIHacker Noonabout 5 hours ago
Replace Agent Generic Taste With Preference Loop
5 min read
Coding agents default to generic design because preference-based training favors broadly agreeable outputs. A preference-learning loop using ranked comparisons, stored in taste.md and paired example folders, teaches agents specific taste. A preprint trained judges on 700,000 paper pairs, outperforming GPT-5.2 and Gemini 3 Pro.
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