The concept of "stochastic parrot" is that an LLM merely parrots its training data with some randomness.

We now know that isn't true - LLMs build complex internal models and output based on that.

See for example https://arxiv.org/html/2505.23323v1

Also, you are commenting on a post where a LLM made significant progress on the Riemann hypothesis. Even the most extreme interpretation of these results, ie claiming that it was "only linking existing literature" goes well beyond a "stochastic parrot" - it had to be able to link disparate insights across multiple fields.