Earlier quoted context omitted.
And also clearly not what the OP means, who was trying to make a point that tuning the prompt to an otherwise stateless LLM inference job is nothing at all like teaching a human being. Mechanically, computationally, morally or emotionally. For example, humans aren't just tools; giving feedback to LLMs does little to further their agency.
The false equivalence I pointed at earlier was "LLM code => no human on the other side". The person driving the LLM is a teachable human who can learn what's what's going on and learn to improve the code. It's simply not true that there's no person on the other side of the PR. The idea that we should be comparing "teaching a human" to "teaching an LLM" is yet another instance of this false equivalence. It's not inher…
IF they disclose what they've done, provided the prompts, etc. then other contributors can help them get better results from the tools. But the feedback is very different than the feedback you'd give a human that actually wrote the code in question, that latter feedback is unlikely to be of much value (and even less likely to persist).