Stop Tracking MMLU. Track These Three Production Metrics Instead.

A widely shared post argues that academic benchmarks are the wrong lens for deployed AI, and offers three operational metrics that actually predict whether a system works.

As the model release calendar accelerates, a quieter argument is gaining traction among builders: the benchmarks everyone quotes have almost nothing to do with whether a system works in production. @L0TRO crystallized the case with a simple prescription — stop tracking MMLU and watch three production metrics instead: Schema Validation Pass Rate, P95 TTFT, and Cost per Successful Transaction.

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