OK. I'm imagining a correlation engine that looks through code as a series of prompts that are used to generate more code from the corpus that is statistically likely to follow.
And now I'm transforming that through the concept of taking a photograph and applying the clone tool via a light airbrush.
Repeat enough times, and you get uncompilable mud.
And now I'm transforming that through the concept of taking a photograph and applying the clone tool via a light airbrush.
Repeat enough times, and you get uncompilable mud.
LLMs are not going to generate improvements.