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The big problem with learning new programming languages is that you're going to suck at it for years until you reach the same level of familiarity with the new one.

Suck here is more of an emotional thing. They can output high quality code fairly quickly. The issue is not knowing all of the quirks of the language and all development being slower and more difficult.

Dropping down to simpler tasks while learning the language is a huge ego blow.

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And this is where LLMs help tremendously: you know exactly what you want to do, you don't know how to do it specifically like it should be done in the language you're learning, you query the latent space of the internet using plain english and you get an answer.

It was a good argument literally a couple years ago less a few weeks before the chatgpt first release. Nowadays it's basically a moot point.

I'm surprised at how useful the latest openai model is for me when it comes to either learn a python library or a new language, such as cl, for example.

When you learn a language, you don't just learn how to use the syntax of that language idiomatically. You also need to learn to use the different tools in that ecosystem

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