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Google used 29 AI agents to build a 50-task benchmark for causal reasoning

Google Research says 29 agents spent 11.5 hours turning 13 public tables into a 50-task benchmark. The problems ask a model to decide whether the data can identify a causal effect and, where it can, estimate that effect against a known answer. The step I'd borrow is the review. Google says separate…

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  1. 2026-11-14 07:30 · r/artificial
    Google used 29 AI agents to build a 50-task benchmark for causal reasoning

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