Swarm Organization as the Exponent on Test-Time Compute

Swarm organization - the efficacy of cooperation between AIs in a multi-agent system - may change how parallel test-time compute increases AI capabilities, moving it from a sublinear[1] to a superlinear exponent.[2] That is, rather than more parallel agents giving you diminishing returns to capabilities, more parallel agents may soon give you increasing returns to capabilities, at least within some useful bounds.I expect this will boost frontier AI capabilities by increasing effective compute.Wh...