Biological Anchors: A Draft Report on AI Timelines (Open Philanthropy)
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This report by Ajeya Cotra at Open Philanthropy is one of the most cited formal attempts to estimate transformative AI timelines using biological computation anchors; it shaped EA community strategy and funding priorities around AI safety.
Metadata
Summary
This Open Philanthropy report by Ajeya Cotra uses 'biological anchors' to estimate timelines for transformative AI, grounding forecasts in the computational resources required to match the human brain's training process. It synthesizes estimates across multiple hypotheses about the relevant scale of computation and projects probability distributions over when such compute might become affordable. The report became a foundational reference for AI timeline discussions in the EA and AI safety communities.
Key Points
- •Uses the human brain's computational capacity as an anchor to estimate the compute needed to train transformative AI systems.
- •Considers multiple 'anchor' hypotheses (evolution, lifetime learning, short horizon tasks) and weights them to produce a timeline distribution.
- •Projects a median estimate around 2050 for transformative AI, with substantial probability mass in earlier decades.
- •Heavily influenced subsequent AI forecasting work and is widely cited in EA/AI safety funding and strategy discussions.
- •Explicitly framed as a draft to solicit feedback, reflecting Open Philanthropy's internal forecasting methodology made public.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Holden Karnofsky | Person | 40.0 |
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