[genxy]

They might make fewer mistakes, but they aren't evenly distributed. They don't use logic when making mistakes, it is gaps in the training data and now large of a span they have to bridge in the latent space. Just as they aren't smart like humans, they aren't stupid like humans. Don't mistake rate for quality.

[Terr_]

Yeah, this starts to overlap with some autonomous vehicle stuff, where I like to say that the rate of errors is not the shape or distribution of errors.

We have long historical experience and innate tools for detecting and mitigating errors made by humans. If we can't apply those to automation, then even fewer total mistakes may end up being a worse outcome.