it goes back to the AI companies’ criteria for success — a confident AI giving wrong answers is better than a confident AI admitting they don’t have an answer. a false positive is still a positive, and in reporting performance that’s all they care about. the last thing they want is a true negative.
add a skeleton here at some point
6 days ago