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Comment by terhechte | Hacker News Reader

I sat down at a Piano yesterday and tried to play a beautiful song even though I never really used a piano before. Sounded horrible, must be the pianos fault.

One reason to use LLMs is to understand when and how to use them properly. They're like an instrument you have to learn. Once you do that, they're like a bicycle for your mind.

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except the piano's seller advertised that i don't need to know how to play "just ask it, it will play!"

Here ya go, fixed your analogy

If you buy a machine to play the piano for you, you won't learn how to play the piano. You'll just become really good at using that machine.

Which model have you picked to learn and keep using? Because each new model means learning new instrument.

ah yes, all those LLM models have such unique and different system prompts, impossible to re-use your knowledge from model A for model B...

or wait... https://github.com/elder-plinius/CL4R1T4S nah, they are very much the same when it comes to prompting

system prompts aren't actually part of the model at all; obvious you don't know what you're talking about.

wauw. your point was that you needed to relearn "all the prompting" when a model changes. which is not the case. but hey. at least you know what you're talking about.

It was actually mine point, not theirs. But yes, you do actually need to lelearn "all the prompting" when switching models. Would gladly see any tests you have made or any published studies that show it is not the case anymore with newer models!

LLMs can't disappoint. They can only be disappointed.

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