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Two AI systems with nearly identical performance can have drastically different human oversight needs, revealing hidden costs in deployment readiness.
Finally, a rigorous benchmark, VERO, to understand how coding agents can iteratively improve *other* agents, revealing which optimization strategies actually work.
