this post was submitted on 13 May 2025
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[–] TheObviousSolution@lemm.ee 19 points 1 week ago* (last edited 1 week ago) (9 children)

Had a presentation where they told us they were going to show us how AI can automate project creation. In the demo, after several attempts at using different prompts, failing and trying to fix it manually, they gave up.

I don't think it's entirely useless as it is, it's just that people have created a hammer they know gives something useful and have stuck it with iterative improvements that have a lot compensation beneath the engine. It's artificial because it is being developed to artificially fulfill prompts, which they do succeed at.

When people do develop true intelligence-on-demand, you'll know because you will lose your job, not simply have another tool at your disposal. The prompts and flow of conversations people pay to submit to the training is really helping advance the research into their replacements.

[–] brygphilomena@lemmy.dbzer0.com -1 points 6 days ago (8 children)

My opinion is it can be good when used narrowly.

Write a concise function that takes these inputs, does this, and outputs a dict with this information.

But so often it wants to be overly verbose. And it's not so smart as to understand much of the project for any meaningful length of time. So it will redo something that already exists. It will want to touch something that is used in multiple places without caring or knowing how it's used.

But it still takes someone to know how the puzzle pieces go together. To architect it and lay it out. To really know what the inputs and outputs need to be. If someone gives it free reign to do whatever, it'll just make slop.

[–] swlabr@awful.systems 21 points 6 days ago (1 children)

That’s the problem, isn’t it? If it can only maybe be good when used narrowly, what’s the point? If you’ve managed to corner a subproblem down to where an LLM can generate the code for it, you’ve already done 99% of the work. At that point you’re better off just coding it yourself. At that point, it’s not “good when used narrowly”, it’s useless.

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