WildClawBench finds AI agents still fail real work
WildClawBench drops frontier models into messy OpenClaw workflows, and even the leaders finish barely half the job. That is a truer test than another polished demo.
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WildClawBench drops frontier models into messy OpenClaw workflows, and even the leaders finish barely half the job. That is a truer test than another polished demo.
Anthropic’s 80,508-interview Claude user study suggests the market wants productivity, learning, and cognitive support more than full AI autonomy.
I still care about benchmarks, but not the old way. A score only matters if it survives reproducibility checks, task fit, and deployment reality.