it's getting to the point where I notice people say it a lot, especially IRL now for whatever reason recently.

And for clarity I'm not in research or anything, so these people just mean 'LLM/image gen', not utilities like OCR or (usually not) transcription.

Some have argued it's just more efficient (which I can kind of get), while others think you're actively hindering your intelligence somehow.

On the first point:

I've tried it occasionally to see how it compares to my own skill, and while it produces a functional result, it's always very derivative work to the point where you can find things with the exact same names of other 'public' (but not libre) works, and often isn't the ideal solution to what it targets. So I can see how you can get things out of it, but it never felt really that profound to me.

But for the second... isn't this supposed to be the tool for people to do things they aren't experienced in? If anything, you probably need to be able to understand how to write pertaining to the task so the token probabilities are biased toward writing from that area.

And even then, if all you end up doing is prompting AI, then wouldn't you ultimately serve no purpose outside of being glorified QA?

I guess I'm trying to figure out what exactly non-users would be 'falling behind' in that affects them more than those who use AI?

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I mean, anectodal. I do passion projects, I studied, I used it: bad. As in muddy water bad, not unable to write or not working bad. You delegate and get complacent and it can cascade to a point you become dependent on it. That said, I specified good open source projects, not ALL. The internet is fucking built on linux. If that is not proof of what open source can achieve I don't know what to tell you. You have no idea how many drivers or libraries exist entirely open source still working and maintained today. That said, I'm not here to convince you of my OPINION, I just wanted to share my educated guess on these LLMs. Nobody knows what the heck is gonna happen in the future and the fact that management (uneducated on the topic) is forcing adoption on people that work and know their field is kind of a bad sign. New people adopting new technologies is on par with previous cases, so nothing surprising here. Will they surpass the older coders or will the new AI be too costly to compete or require more expert coders to fix the mess? We have seen all these cases so far happen, so let's wait for the big numbers to tell us who wins. Certanly not the planet lol

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