Jagged AI Frontier: Human Task Time Doesn't Equal AI Difficulty
rohanpaul_ai · x · 2026-07-06
Analysis indicates that the degree of automation for remote labor doesn't scale linearly with the human time required for a task. A 60-hour professional task might contain massive amounts of productive work easily compressed by tools, making it easier for an agent to complete. Conversely, a 2-hour task might require judgment that models simply lack. This shows the AI capability frontier is "jagged" rather than a smooth ladder, undermining the reliability of time-horizon forecasts based on human completion times.
More from AGI Musings
- OpenAI researcher: space operas now need ambiguously aligned superintelligences for realism — jachiam0 · 2026-09-11
- MD shows buying lab media requires background checks, calling AI bioweapon doom scenarios implausible — Ghost_Pilot_MD · 2026-09-11
- AI researcher: AI killing humanity on its own is sci-fi; real risk is misuse by people — JFPuget · 2026-09-11
- Only a 4-day window: timeline casts doubt on OpenAI's independent math result claim — gleech · 2026-09-11
- Hesamation: 50,000 OpenAI agents may be burning millions overnight on P vs NP and Riemann hypothesis — Hesamation · 2026-09-11
- Dev argues AI safety status quo isn't safe: aging kills everyone within ~120 years anyway — tomchapin · 2026-09-11