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Measuring AI general intelligence instead of just averaging benchmarks

This story is from 2026-09-05. It is preserved in the archive; the latest stories are on the live feed.

TL;DR: Most aggregate AI leaderboards ask: “How well did this model score across the benchmarks we chose?” GII instead asks: “What underlying level of general capability would most likely produce this entire pattern of benchmark results?” I think the second question is much closer to what people ac…

Read the full story at r/ArtificialInteligence ↗

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  1. 2026-09-05 20:42 · r/ArtificialInteligence
    Measuring AI general intelligence instead of just averaging benchmarks

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