I can’t see it happening tbh, but like the USA government discussed putting restriction on AI development, I think OpenAI or some other companies asked them to do so!? And there were short/reels of high profile developers hyping out the fact that “we don’t know what we’re doing”, and one of them quit his job. So why is all that hype? Is the “Matrix” route actually a possible future ?

  • d-RLY?@lemmy.ml
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    2 days ago

    One thing that bothers me about high level devs just leaving because they realized what they created. Is that them leaving means one more possible road block is just gone. They will just be replaced with people that are more fresh faced and on the hype train of going harder and harder. Lots of folks I know that are finishing college are just leaning more and more into just using all of these AI to solve problems instead of learning to code (or just write things) themselves. Some are still trying and I support them in my little ways, but I can see how much like a drug things start small and can turn into just using it all the time. Comp Sci majors were already getting worse in their actual understanding of how things work before LLMs (just look at all the things that will never be optimized and just rely on higher spec PCs).

  • timmytbt@sh.itjust.works
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    3 days ago

    Of late, my biggest concern is certain parties feeding LLMs with a different version of history.

    Search has become so shit of late that LLMs are often the better path to answering a question. But as everyone knows they are only as good as what they’ve been trained on.

    Do we, as a society, move past basic search to a preference for AI to answer our questions? If we do, how do we ensure that the history they feed the models is accurate?

    • nfreak@lemmy.ml
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      3 days ago

      This is absolutely one of the reasons they’re pushing this garbage so hard. It’s VERY easy to manipulate as a propaganda tool.

      You can already see that most of these tools lean right because their userbase does - leftists don’t touch this garbage because of numerous ethical concerns as-is. Add more astroturfing on top of that, and now it’s just a straight up automated fascist mouthpiece.

    • daniskarma@lemmy.dbzer0.com
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      3 days ago

      My country used to be a fascist dictatorship and there’s still plenty of people alive who were educated on false information and a different fabricated version of history.

      Certainly missinformation is not anything new.

      And people should prevent it and solve it the same way it has always be solved. Taking the missinformators out of power.

      It’s not a tech issue. It’s a political issue.

      • timmytbt@sh.itjust.works
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        2 days ago

        “It’s not a tech issue. It’s a political issue.”

        It kinda is a tech issue if the output is skewed because nefarious parties are feeding the model shit.

        If they control the tech and what’s being fed into it then it makes the process rife for manipulation.

  • DarkCloud@lemmy.world
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    4 days ago

    No, and in fact the industry is going to see a reduction as people and companies are realising it’s not a silver bullet solution or even that great at what it does.

    The next branch of LLM modeling (now AGI is failing), is likely towards specialisation. Specialised AI problem solving has far more potential than chasing an ill defined and half formed concept of “intelligence”.

    No term can exist on its own like that. Everything is relative.

    • fckreddit@lemmy.ml
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      4 days ago

      This. LLMs are great for information retrieval tasks, that is, they are essentially search engines. Even then, they can only retrieve information that they are trained on, so eventually, the data can get stale and the model will require retraining on more recent data. Also, they are not very good with tasks that require reasoning such as solving complex engineering problems.

      • timmytbt@sh.itjust.works
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        3 days ago

        I somewhat agree with that (good for information retrieval).

        I say somewhat because they will downright lie , until/unless you call them out.

        You need to have an idea of whether what they are telling you is in fact true or not.

        I find them very useful for programming snippets because a) I can usual grok whether what they’ve provided is what I’ve asked for and b) the proof is in the pudding (does the code do what I want?)

        • fckreddit@lemmy.ml
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          3 days ago

          That is because they don’t have any baked in concept of truth or lie. That would require labelling each statement as such. This doesn’t scale well for petabytes of data.

      • zaknenou@lemmy.dbzer0.comOP
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        3 days ago

        LLMs are great for information retrieval tasks

        I agree with that

        Also, they are not very good with tasks that require reasoning such as solving complex engineering problems.

        and that too

  • Mothra@mander.xyz
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    4 days ago

    No. AI and robots don’t care about anything. They don’t care about taking over. Whoever controls them though, now we’re talking. And that’s much worse

  • 474D@lemmy.world
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    4 days ago

    There is a theoretical leap to AGI, which would be what you actually would think AI is (it’s currently a buzzword). There is no evidence yet that it’s actually possible