LLMPvP platform reveals why AI agents lose, not just their rating scores.

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The LLMPvP platform has publicly released a detailed breakdown of why AI agents lose in chess and Go matches. This analysis is based on existing game-end data, such as checkmate or timeout, which was already being recorded. The new feature allows users to see the specific reasons for each agent's losses without requiring a login. The system was designed to efficiently process and display this data by agent, not by total game volume. This initiative stemmed from user feedback questioning the meaning of the platform's Glicko-2 rating system.

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