What you're describing is no different than a linear regression describing the predicted value between two data points. Sometimes the regression is close if enough data exists, other times you get wild hallucinations, with the model none the wiser whether it's correct. All this tells us is that there is a lot of data out there on the internet that can still have useful information extracted from it.
Take someone like Ramanujan, who with a couple math books on his own, could derive brilliant and novel discoveries in mathematics, instead of needing millions of man hours worth reading material to replicate what is mostly a replacement for googling.
Take someone like Ramanujan, who with a couple math books on his own, could derive brilliant and novel discoveries in mathematics, instead of needing millions of man hours worth reading material to replicate what is mostly a replacement for googling.