The first point is moot, because human annotation would also have some amount of error, either through mistakes (interns being paid nothing to add it) or malici

The first point is moot, because human annotation would also have some amount of error, either through mistakes (interns being paid nothing to add it) or maliciously (SEO). Plus, human annotation would be multi-lingual, which leads to a host of other problems that LLMs don't have to the same extent. The second point is silly, because there is no reason for everyone to train their own LLMs on the raw web. You'd have a few companies or projects that handle the LLM training, and everyone else uses those LLMs. I'm not a big fan of LLMs, and not even a big believer in their future, but I still think they have a much better chance of being useful for these types of tasks than the semantic web. Semantic web is a dead idea, people should really allow it to rest.