Fable’s AI prediction scorecard compares leading researchers on AGI timelines and risk
builderjaydub · x · 2026-07-28
A shared image from Fable grades a range of historic AI predictions made by major researchers such as Robin Hanson, Eliezer Yudkowsky, Shane Legg, Yann LeCun, Dario Amodei, and Paul Christiano.
The scorecard also compares their past predictions on deep learning, LLMs, AI timelines, economic impact, and existential risk, making it a compact snapshot of how leading voices have changed or aligned over time.
More from AGI Musings
- A catalog of failed AI predictions is being used to push back on hype — StanfordAILab · 2026-07-28
- Kevin Weil says AGI will matter most by accelerating science, not chat quality — r0ck3t23 · 2026-07-28
- If AI auto-merges 19 of 20 PRs, what are junior devs training for? — VraserX · 2026-07-28
- Erik Voorhees warns against letting governments define what AI counts as safe — adamamcbride · 2026-07-28
- Anthropic’s open-weights wording draws criticism over its AI safety stance — burny_tech · 2026-07-28
- Current AI policy fights are just the prelude to ASI-era conflicts — jachiam0 · 2026-07-28