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For the former case, we have ∆1(ρ, α, β, h, π)−∆ 0(h, π) = ¯∆1(ρ, α, β, h, π)−∆ 0(h, π)<max n α, hπ2+π hπ2+2π+h o − hπ2+π hπ2+2π+h = 0

Otherwise, we consider: ¯∆1(ρ, α, β, h, π)≥0or ¯∆1(ρ, α, β, h, π)<0

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How AI Aggregation Affects Knowledge

econ.TH · 2026-04-06 · unverdicted · novelty 5.0

Fast AI aggregation in social learning has no robustly improving training weights, but slow and local aggregators do improve learning across environments.

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  • How AI Aggregation Affects Knowledge econ.TH · 2026-04-06 · unverdicted · none · ref 7

    Fast AI aggregation in social learning has no robustly improving training weights, but slow and local aggregators do improve learning across environments.