A catalog of failed AI predictions is being used to push back on hype
StanfordAILab · x · 2026-07-28
A quoted thread argues that a catalog of failed AI predictions is worth reading before making overly optimistic forecasts.
The point is that many confident claims about AI being inevitable — and the policy pressure that follows from them — have historically aged badly. The list is framed as a rebuttal to both hype and the idea that lawmakers should rush in based on deterministic narratives.
Related event: Archive of Decades of AI Prediction Failures Counters Hype(3 posts)→
More from AGI Musings
- 'Refusing to code with AI in 2026 is like refusing Google in 2005' — prasenx · 2026-10-16
- Bessemer survey of 226 healthcare execs: back-office AI returns 3-4x, clinical AI lags — AllThingsApx · 2026-10-16
- SAIR Launches Open Math OS, Offering Free Compute and 100+ Tools for Community-Owned Math AI — Thom_Wolf · 2026-10-16
- 'Human in the loop' called one of AI governance's biggest lies: presence isn't authority — glenbeer · 2026-10-16
- Interpretability debate: 'all concepts are arbitrary' dismissal called the default doomer prior — basedjensen · 2026-10-16
- "Flyers or Liars": the Wright Brothers' 1908 European skeptics as a lens on AI ambition today — bennash · 2026-10-16