A Researcher's Plea: Stop Trusting Lab Benchmarks, Run Your Own

When Meta and Google dropped frontier models a day apart, their launch charts overlapped on just 2 of 32 benchmarks — a tell that the numbers are chosen, not standardized.

The clearest piece of practical advice in today's research came from @SISpotlight, who laid out why AI lab benchmarks deserve skepticism. When Meta and Google released frontier models — Muse Wonder and Gemini 4 Argon — within 24 hours of each other, their launch charts shared only 2 benchmarks out of 32. That is not a coincidence. It is evidence that each lab selected the tests where it looked best.

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