Despite impressive-seeming individual successes, standardized benchmarks consistently show AI having only 1-2% success rates on mathematical problems, and the journal and media attention to successes creates a distorted perception where noise overwhelms signal, making it increasingly important to establish standardized datasets and prevent AI companies from selectively reporting only victories.
factualpending
Speaker
Terence TaoEvidence Quote
“It will be increasingly important to collect these really standardized datasets. There are efforts now to create a standard set of challenge problems for AIs to solve, and not just rely on the AI companies to only publish their wins and not disclose their negative results.”
Created: 8/12/2026, 6:05:48 PM
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