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[–] 7 points 1 day ago* (7 children)

The problem is that AI models are trained on material ripped off of creators, without any contribution back, not even an acknowledgement. It's unethical to use it in the first place.

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  • [–] 1 point 1 day ago (6 children)

    Well I'd say thank you to all the creators, but there's no way this puppy is getting back in the box. The No AI! hardlining is only going to dwindle out over time, and that's going to be a lot faster than you think

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  • [–] 1 point 1 day ago* (last edited 1 day ago) (5 children)

    Indie dev here and day job is an AI consultant, engineer and academic. Truth be told genai just isnt that good. It averages to the mean so it will only really be useful for some things. The issue isnt no AI or all AI but about disclosing how much and when. Using llms to support (but not replace) programming borrows from stack overflow so is less a copyright issue. But fully replacing your code or artists with gen ai will make for shit games.

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  • [–] -3 points 1 day ago (4 children)

    I haven't talked to anybody who's replacing IT, engineers, or developers, but let's be real programmers are done. Even sysadmins will outlive them.

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  • [–] 2 points 16 hours ago (1 child)

    Said by someone who, presumably, has never tried to program something technical because LLMs are terrible at it.

    I'm using AI quite a bit to help me write code, for work, but I need to review its output so carefully. While cheerfully reporting that it was operating on a test instance, and that no destructive operations would touch live servers, it never toggled to use the test server variables at all. Even worse, it had hard coded using the live server, but only for the delete operations. That would have been a disaster if I was slop coding it, instead of using it as an AI assistant, and very carefully reviewing every line it wrote.

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  • [–] 1 point 5 hours ago

    Most fail to grasp LLMs were trained on over confident stackoverflow posts and terribly lazy tutorials, and worst of all we turned off human to human feedback loops to give it more training.

    Its why comp sci circles of mine joke/worry we cant get past python 3.12 because LLMs have no human-created training data for new versions now that we stopped using traditional human to human platforms for that.

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  • [–] 0 points 8 hours ago* (last edited 5 hours ago)

    Lol. No. I am a life long programmer and founded a successful, profitable AI company, and train governments and industry around the world (my name is here, you can find me to verify) and I think this is hogwash.

    Programming depends on creative solutions to new problems while LLMs are trained on an increasingly diminishing source material. They cant move past python 3.12 is the joke/criticism in computer science circles.

    Evidence shows llms make engineers SLOWER and any serious engineer who gave them a full try understands why. They guess poorly and confidently, erase logic, have poor architecture.

    https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/

    https://fortune.com/2026/03/10/ai-productivity-workers-workday-efficiency/

    LLMs are pattern machines not sources of truth or intelligence.

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