The Golden Age approach of 'divide and conquer'—splitting intelligence into separate faculties and building search algorithms for each—hit a fundamental ceiling: most real-world problems are NP-complete or harder, meaning no efficient algorithm exists, and exhaustive search becomes computationally impossible at realistic scales.
causalpending
Speaker
Michael WaldridgeEvidence Quote
“problems in computer vision are NP complete endless problems in reasoning and problem solving are NP complete...we hit a wall...the barrier of uh of combinatorial explosion”
Source
Don’t Believe AI Hype, This is Where it’s Actually Headed | Oxford’s Michael Wooldridge | AI History— Johnathan BiCreated: 7/7/2026, 3:38:35 AM
My Notes
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