Neither Stochastic Parroting nor AGI: LLMs Solve Tasks through Context-Directed Extrapolation from Training Data Priors — mentioned by nl

Tue, 11 Aug 2026 02:50:00 GMT

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.

Paper and discussion history. A mention is not an endorsement.

Neither Stochastic Parroting nor AGI: LLMs Solve Tasks through Context-Directed Extrapolation from Training Data Priors · HackerPapers discussions

Neither Stochastic Parroting nor AGI: LLMs Solve Tasks through Context-Directed Extrapolation from Training Data Priors — mentioned by nl