Benchmark scores may be mostly explained by one factor, says a new compute argument
nabeelqu · x · 2026-08-04
A discussion of benchmark variance and compute argues that 90% of the variance in benchmark scores may be explained by a single factor. The poster calls this "effective compute" and frames it as a machine-edition general factor of intelligence.
The quoted thread adds a related philosophy: one camp keeps scaling the benchmark set and hopes errors cancel out, while the other side points to a consistent log-sigmoidal relationship between accuracy and effective compute across both training and test-time compute. The claim is that breadth across hard benchmarks matters, but many benchmarks may still be dominated by the same underlying factor.
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