Manual context attachment produces a combinatorial collapse in AI task-success probability as personal corpus size and multi-document conjunctivity grow, while dynamic retrieval is insulated from that collapse, creating an inequality dimension complementary to agentic access.
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Labor-produced AI pins the complementary-to-substitutable wage ratio to AI productivity alone, and Pareto-improving taxes on AI builders (and monopoly rents) must evolve with productivity and market structure.
A new RL Feasibility Index based on task learnability via reinforcement learning diverges from prior AI exposure measures, rating operational jobs like power plant operators as highly feasible while rating creative and interpersonal roles as less so.
citing papers explorer
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The Context Access Divide: Interaction-Level Architecture as a Complementary Dimension of Agentic Inequality
Manual context attachment produces a combinatorial collapse in AI task-success probability as personal corpus size and multi-document conjunctivity grow, while dynamic retrieval is insulated from that collapse, creating an inequality dimension complementary to agentic access.
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The Economic Benefits and Costs of AI and Policies to Mitigate AI's Impact on Inequality
Labor-produced AI pins the complementary-to-substitutable wage ratio to AI productivity alone, and Pareto-improving taxes on AI builders (and monopoly rents) must evolve with productivity and market structure.
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What Jobs Can AI Learn? Measuring Exposure by Reinforcement Learning
A new RL Feasibility Index based on task learnability via reinforcement learning diverges from prior AI exposure measures, rating operational jobs like power plant operators as highly feasible while rating creative and interpersonal roles as less so.