Rohan Paul summarizes Scale AI paper urging cost-based agent ranking

Rohan Paul posted a summary of a Scale AI and University of California paper. According to his post, two agents can post nearly identical benchmark scores yet demand very different amounts of human review. Paul describes READY as a framework that evaluates the combined agent-plus-oversight system. Per his summary, it measures required reliability, cases an agent can handle alone, review volume needed, and total policy cost. Paul concludes that enterprise teams should rank agents by the expense of reaching reliable deployment instead of raw accuracy numbers.