this post was submitted on 23 Feb 2026
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Spoken like a true AI apologist. You ran one test, and you extrapolated your results to an optimistic outcome that conspicuously matches what you wish to be true. Not scientifically rigorous? Bruh, this is the very definition of confirmation bias.
If this is actually a hypothesists you want to test, maybe contact some computer science researchers to see how to best design an experiment. Beyond that, this is virtually the same as flipping a coin once and drawing a conclusion about how often heads is the outcome.
Actually I set out with the assumption that flagship models would fail even on these fairly simple questions that I have seen them failing on before, but I was suprised they didn't all fail.