2 ms·
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 inter
by nl 2mo ago
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 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.
- jdub 2mo agoonly if you don't understand the difference between metaphor and analogy
- solid_fuel 2mo ago> Also, you are commenting on a post where a LLM made significant progress on the Riemann hypothesis. Actually you're commenting on a post where an LLM used existing insights to make a small improvement to the bounds of the Riemann Hypothesis by applying the existing insight to an existing theoretical approach. This is the core problem and missing it betrays your lack of understanding: an LLM was used to apply existing work to an existing approach, there was no innovation on the part of the parrot.