The path forward for AI involves slow, sector-by-sector deployment with iterative feedback loops from real users and domain experts; this is modeled on self-driving cars, which required two decades of slow scaling (driving 1,000 miles → improving → 10,000 miles → 100,000 miles) rather than sudden general capability jumps.
factualpending
Speaker
Arvin NarayanEvidence Quote
“deploying models or AI systems uh even relatively unreliable AI systems in small settings in different domains on a sector by sector basis...slowly scale up...collect data that allows you to improve your reliability”
Source
AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference— MIT Stone Center on Inequality & Shaping WorkCreated: 8/11/2026, 6:51:26 AM
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