Take-off may need 15% productivity gain per capability point, Anthropic survey suggests 9%
ben_j_todd · x · 2026-09-29
A discussion of quantified AI take-off thresholds, drawing on the Elasticity Institute paper: reaching r = 1 (self-accelerating R&D) requires roughly 15% more research productivity per point of extra capability (ECI). Ramez's reading of recent Anthropic surveys puts the current figure at about 9%, leaving a gap to the take-off threshold. Ben Todd also questions whether this elasticity-based approach is more grounded than past work measuring software R&D inputs vs outputs directly.
More from AGI Musings
- Meta launches Muse for Small Business, connecting the AI agent to Shopify, Slack and 15 more tools — gaganghotra_ · 2026-09-29
- Eric Elliott resurfaces Leanpub podcast on AI Driven Development, consciousness and economics — ericelliott_ · 2026-09-29
- Anthropic maps multiagent system risks; researcher likens it to sociology, not chemistry — mattturck · 2026-09-29
- AI safety debate: escalating catastrophes is the expected path, researcher argues — Jsevillamol · 2026-09-29
- Benjamin Todd's primer: three AI feedback loops could accelerate change 10-100x — ben_j_todd · 2026-09-29
- Benjamin Todd says evidence on recursive self-improvement looks 50:50 — ben_j_todd · 2026-09-29