The expenditure horizon: On an open-ended optimization problem, an AI agent given a small budget will often make more progress than a human given the same budget, because human time is expensive. The expenditure horizon is the budget at which the human catches up: the dollar value where a human's expected improvement, given the same budget, equals the agent's.

Read more: https://metr.org/blog/2026-07-21-expenditure-horizon/

Chain pendulum network
2 chains (1 driven), 1 spring
d=0.001, κ=[9]
seed=1739783532

trackballing rn

via nniojen