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[+] -39 points 6 months ago (27 children)

Maybe he meant code quality was so good its like a human wrote it.

After all if the code is good and follow all best practices of the project, why reject it just because it was an AI who wrote it. That's racism against machines.

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  • [–] 92 points 6 months ago (15 children)

    It's not possible to be racist toward inanimate objects. Computers are not a race. LLMs are not people.

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  • [–] 41 points 6 months ago (3 children)

    That was rude against my wife-chatbot. Apologize to her, here: https://...

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  • [+] -12 points 6 months ago (2 children)
  • [–] 20 points 6 months ago* (1 child)

    LLMs will never be people. Computers might be, one day in the very distant future. But literally every piece of the current AI hype train is just hype. LLMs could, maybe, at best, be a single piece of a much larger puzzle for bringing consciousness into being. But the "Just Add More Compute Bro!" mantra is just tech bros doing their market hype thing. It has as much chance of giving rise to consciousness as my PC has whenever I add another hard drive.

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  • [+] -28 points 6 months ago (6 children)

    It’s possible to leverage the same human quality called “hate,” which underpins racism. It’s the same ugly human behavior. You can call it whatever you want, it’s still ugly

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  • [–] -5 points 6 months ago (2 children)

    We have a word for the concept you're thinking of. It's called bigotry. Racism is race-based bigotry. Anti-AI bigotry is reasonable and awesome, and is just called bigotry.

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  • [–] 5 points 6 months ago*

    No, you can't have bigotry against software. At least, not currently.

    Maybe in the future somebody will figure out how to make a sapient AI, like you see in science fiction, and then you can say that somebody is bigoted against it. We don't have sapient AI, though, so this is simply prejudice.

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  • [–] 45 points 6 months ago (3 children)

    One big reason people outright reject AI generated code is that it shifts the work from author to the reviewer. AI makes it easier to make low effort commits that look good on surface, but are very flawed. So far LLMs don't match the wisdom of an experienced software dev.

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  • [–] 11 points 6 months ago (1 child)

    This is what happened with FFMpeg when Google was trying the same thing to promote their models. If the code is good, and doesn't put unnecessary burden on the reviewer, then that's great. But when the patches are sloppy or the reviews are overwhelming, it doesn't help the project, it hinders it.

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  • [–] 3 points 6 months ago

    It's almost like there should be a human in the loop to guide and review what the ai is doing.

    The thing works a lot better when I give it smaller chunks of work that I know are possible. Works best when I know how to implement it myself and it just saves me from looking up all the syntax.

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  • [–] 7 points 6 months ago

    totally agee also same problem with published scientific papers .

    I just assume that since this code submission was done by Anthropic itself - probably to demonstrate how good their AI has became ( I don't know what is the actual background to this story) - FFmpeg team gave it more consideration as opposed to a random amature.

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