@joelanman@benjamineskola The ML solutions are inherently imperfect, but their errors need to be weighed against issues you would have with other approaches.
For example, invisible metadata turned out to be systematically unreliable, because it gets less testing, so is likely to become stale or bitrot. Invisibility helps using it for spam.
So apart of rare cases of honest, correct, complete up-to-date semantic data, there are no less flawed ways of extracting information from the web.