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Graded 1,300+ word-association clues: Google's models beat OpenAI's, and both beat Anthropic's

I run a word-association benchmark: one model gives a one-word clue meant to point at several of its team's words on a 5x5 board, and a teammate model guesses. Each clue is graded 0-100, mostly on how many of its own words a guesser is expected to find before hitting a wrong one. Models play each o…

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  1. 2026-11-04 01:55 · r/artificial
    Graded 1,300+ word-association clues: Google's models beat OpenAI's, and both beat Anthropic's

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