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  "text": "Voice AI has a benchmarking problem.\n\nEveryone claims their end-of-turn model is the best, but you couldn't actually compare them. Datasets are proprietary, methods are opaque, and there is no shared ground truth.\n\nThat changes today.\n\nWe hit this while developing Turn Detector v1, so we open-sourced eot-bench. 5,000+ real user conversation turns across 14 languages, an evaluation harness that measures the real production tradeoff between latency and false cutoffs, and a live public leaderboard.\n\nThis should become the default way we evaluate turn detection models.",
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