Enterprises struggle with AI tools because they're only Provably Approximately Correct
andrew_n_carr · x · 2026-11-09
Andrew Carr quips that enterprises find adopting AI tools frustrating not because they're stochastic (though that doesn't help), but because they are only "Provably Approximately Correct" — a play on PAC learning theory suggesting near-guarantees, not guarantees, are the real blocker for enterprise adoption.
More from Companies & People
- Google's frontier AI product head Tulsee Doshi on why PMs are suddenly valuable again — lennysan · 2026-11-09
- DeepSeek's open-source agent Harness hits 1.54M daily users in under 3 months — rohanpaul_ai · 2026-11-09
- Meta teases entry into AI-for-science race, joining frontier labs push — kimmonismus · 2026-11-09
- Meta AI chief Alexandr Wang on hiring: 'Hire people who give a shit' — ZeYanjie · 2026-11-09
- Bindu Reddy predicts OpenAI and Anthropic will stall this year, opening the door for Grok and Gemini — bindureddy · 2026-11-09
- Goldman Sachs Pulls Claude Code From Its Bankers and Traders — TheWiggles · 2026-11-09