I used to think this was a problem. But now? I don’t think it matters.

Why? Because people are going to get so much more ambitious about the stuff they build with AI, that code expertise for the stuff they are building is already scarce anyway. People will choose difficult and less popular languages, and will replace open source packages with stuff built entirely in-house by AI.

Going forward, there is no choice except for AI to fully replace the need for code expertise. Depending on humans won’t be scalable.

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pandemic_region 5 hours ago | parent [-]

Do we even need to get LLMs to create code in the end then? Can we imagine a future where the thing simply does it all, you deploy the LLM like a docker image and have it process all requests directly. Sounds far fetched today, coming to your cluster in five years.

	▲	deadbabe 5 hours ago \| parent [-]
		In theory yes, but you would need LLMs that basically have frontier level capabilities but with zero latency, meaning you enter a prompt and as you type the prompt is regenerating instantly like some kind of autocomplete. I think that would feel like crack for some people who are addicted to using or building stuff with LLMs.