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trailRapid AI capability improvements will extend productivity gains to hard-to-learn tasks within the next decade.
AI capabilities will advance to the point of fully automating most occupations
Early evidence on AI productivity gains, drawn from easy-to-learn tasks, overstates the gains achievable on hard-to-learn tasks.
Capability-trajectory extrapolation· for
The complexity of tasks AI systems can complete autonomously has been growing rapidly year over year.
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Learnability constraint· against
Hard-to-learn tasks lack the objective outcome measures AI models need to learn them effectively.
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Generative AI yields smaller productivity gains on complex, context-dependent tasks than on well-defined tasks.
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Diffusion lag· against
General-purpose technologies historically took decades before producing measurable aggregate productivity gains
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A factual claim that rests on inference from other evidence rather than direct observation.constitutionclaim page ↗︎
Rapid AI capability improvements will extend productivity gains to hard-to-learn tasks within the next decade.
Credible evidence or argument exists on multiple sides.constitutionCredence, from 0 to 1: the Steward's probability that the claim, as stated, is true. Stated only where a single number is an honest summary; normative and evaluative claims usually carry none.constitution
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