Author Questions Unfalsifiability of Scaling Hypothesis
MaziyarPanahi · x · 2026-07-14
The author argues that the scaling hypothesis is "unfalsifiable" because critics can always claim the experiment was flawed, the auxiliary hypotheses were incorrect, or that the results will hold true once those assumptions are fixed.
This calls into question whether scaling has become a difficult-to-disprove theoretical framework, given that one can always blame the testing methodology when models fail to improve as expected.
Related event: Debate: Is the AI Scaling Hypothesis Falsifiable?(3 posts)→
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