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I'm 95% sure the nerfing one is non-sense, based on plenty of benchmarks I've both run myself, and others have run too. I'm a little less confident about the routing one. It feels *just barely* plausible for requests coming from their own harnesses. 100% not true for other API traffic.
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E.g. when we built Vet (github.com/imbue-ai/vet), we'd need to re-calibrate confidence thresholds for model-emitted confidence scores for every new model, or else the recall/precision setpoint would go really off target.
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