The point here is that there is convergence between models on something that is not necessarily obvious from the corpus.
there is conflation between "I didn't know" and "people don't know" which relates to a bias rooted in social norms and a lack of epistemic humility
- [there is convergence between models] and therefore they reflect some latent truth about reality
- [there is convergence between models] and therefore they’re not really providing many novel or interesting insights compared to humans who have a much more diverse set of backgrounds from which they have “learned”the second interpretation probably aligns more with my original thought and, while i think the machine does have the potential for novelty, this isn't equivalent to human-made novelty, as that comes from an understanding that is necessarily squeezed through the constrictive aperture of language (as one of the responses mentioned).
I would say that the convergence of different models is indeed evidence that this is part of the corpus