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alt187today at 12:26 AM2 repliesview on HN

It's more complex than that. The three pillars of learning are theory (finding out about the thing), practice (doing the thing) and metacognition (being right, or more importantly, wrong. And correcting yourself.). Each of those steps reinforce neural pathways. They're all essential in some form or another.

Literacy, books, saving your knowledge somewhere else removes the burden of remembering everything in your head. But they don't come into effect into any of those processes. So it's an immensely bad metaphor. A more apt one is the GPS, that only leaves you with practice.

That's where LLMs come in, and obliterate every single one of those pillars on any mental skill. You never have to learn a thing deeply, because it's doing the knowing for you. You never have to practice, because the LLM does all the writing for you. And of course, when it's wrong, you're not wrong. So nothing you learn.

There are ways to exploit LLMs to make your brain grow, instead of shrink. You could make them into personalized teachers, catering to each student at their own rhythm. Make them give you problems, instead of ready-made solutions. Only employ them for tasks you already know how to make perfectly. Don't depend on them.

But this isn't the future OpenAI or Anthropic are gonna gift us. Not today, and not in a hundred years, because it's always gonna be more profitable to run a sycophant.

If we want LLMs to be the "better" instead of the "worse", we'll have to fight for it.


Replies

svaratoday at 7:45 AM

> Make them give you problems, instead of ready-made solutions

Yes, this is one of my favorite prompting styles.

If you're stuck on a problem, don't ask for a solution, ask for a framework for addressing problems of that type, and then work through it yourself.

Can help a lot with coming unstuck, and the thoughts are still your own. Oftentimes you end up not actually following the framework in the end, but it helps get the ball rolling.

smileeeeetoday at 6:47 AM

Right, nobody gains much of anything by memorizing logarithm tables. But letting the machine tell you what even you can do with a logarithm takes away from your set of abilities, without other learning to make up for it.