Deliberate practice matters – nobody disputes that. But it explains only ~12% of performance variance, not the lion’s share Duckworth implies. And in professional domains, it explains almost nothing. Practice is necessary but grossly insufficient.
“A viral claim on X said the mystery stealth model 'Ox Alpha' beats Claude Fable 5 and GPT-5.6 Sol on the DeepSWE coding benchmark, based on an 8/10-task sample (effectively >80%).”
TRUE, BUTBen Davis, @davis7 on X, amplified by AGTP (@AGTPinsights) and Coin Bureau (@coinbureau) to a much larger audience without the sample-size caveat
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