abrbhat

Maybe an angle here is that tokens are being looked at as pseudo-currency..

Learning is not about what you put in, it is about what you can take out. It is also not zero-sum, but rather exists on a wide spectrum for any given knowledge domain. A good idea could be to prompt the LLMs to keep quizzing you on what you have read and test on both recall and understanding.

Also learning is not just about truth, it is about curiosity as well. The pop-sci metaphors could actually good for satisfying the curiosity of let's say a 10-year old. What to learn and how to learn is ultimately at the judgement of the learner. The better the judgement, the more the learner can stay closer to the exact scientific details.

On a side note, since the author has included a detailed explanation that the text is not AI generated and this is her default writing style, I just find it very difficult to read this style of extra punchy writing. I don't know if it is just me or anyone else as well.

Taste seems something that should be more related to a craft but when doing engineering we don't talk about taste, we talk about theory, systems, practices, skill, intuition, experimentation, teaching and learning. So the debate on whether taste matters or not might come down to whether creating software can be called craft or engineering. In my opinion, maybe programming was more of a craft before LLMs but it looks like it is being squished between the engineering aspects of producing and maintaining software going ahead.

P(i|j) != P(j|i)