A coding agent using AutoTTS discovered a control algorithm that reduces compute by 70% compared to standard self-consistency. The search cost only $40 and finished in 160 minutes. Researchers from Google and Meta found the resulting logic matched baseline accuracy. This proves agents can optimize scaling laws more efficiently than humans.