The critical distinction is between AI as 'chefs' (creative, coming up with recipes) versus AI as 'cooks' (executing existing recipes without mistakes), where the underappreciated opportunity is AI-as-cooks because cook-level performance only requires 110 IQ and the global weighted average IQ is around 90 due to infrastructure disparities, making super-cook AI immediately transformative.
causalpending
Speaker
Raoul PalEvidence Quote
“the thing that we can get our heads around is AI is Cooks AI doesn't make mistakes right and I think that's what's being underappreciated here because you need 110 IQ for that and when you look at the global average weighted IQ it's like 90 [6:13]”
Created: 8/11/2026, 5:36:16 AM
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