Comment on “In 10 years, computers will be doing this a million times faster.” The head of Nvidia does not believe that there is a need to invest trillions of dollars in the production of chips for AI

• givesomefucks@lemmy.world ⁨8⁩ ⁨months⁩ ago

  Mate, I was using chatbots on AIM 24 years ago…

  It wasn’t AI then, it’s not AI now.

  The only reason to get super excited about current chatbots, is if you think they came out of nowhere and not something after decades of slow progression. There’s no reason to expect there to be a sudden huge jump to actual AI unless you don’t know the history.

  People aren’t changing definitions on you…

  Well, some people are, it’s just the ones telling you chatbots are AI.

  They’re just lying to generate hype to get investor money. You’re a bystander that fell for it.

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  • GnomeKat@lemmy.blahaj.zone ⁨8⁩ ⁨months⁩ ago

    im sure using AIM made you an AI expert too

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  • frezik@midwest.social ⁨8⁩ ⁨months⁩ ago

    Thats how the field advances. It doesn’t have to be a full human-level intelligence to advance the field.

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• TropicalDingdong@lemmy.world ⁨8⁩ ⁨months⁩ ago

  I completely agree on the idiotic consensus around the no-true-AI meme.

  The goal post is practically mounted on wheels they’re having to move it so fast. Machine learning and complexity seems to be enough.

  I think that ChatGPT represents a “deep blue” moment for AI. Finally, something fairly generally, that is at least some what competitive with humans. Hell chat gpt can probably play chess better than the average human too.

  But what we’re waiting for is the “alpha go” moment of AI. The moment when the unconquerable is toppled. I expect it to happen in 2-3 years. I think we’ve got almost all we need from a theoretical side, and that the rest will be engineering.

  I expect AI to be largely independent, to have agency indistinguishable from a humans, but to be better, faster and broader in its scope than most humans in their ability. It will still get beaten by the best of the best humans. It will still make weird, sideways mistakes that don’t seem like obvious mistakes to make to humans. But it will be generally better than most humans at most tasks.

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  • General_Effort@lemmy.world ⁨8⁩ ⁨months⁩ ago

    Deep Blue and AlphaGo were AI, though?

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    • TropicalDingdong@lemmy.world ⁨8⁩ ⁨months⁩ ago

      Sure, but in the context of the time, the narrative was that AI would never beat humans at chess. The assumption was you would have to encode all winning positions and that there were just too many positions possible for that to be the case.

      And the narrative and assumptions were wrong. Turns out computer systems can actually not even know what the rules of chess are, learn them, and then learn to play better than any human can ever play.

      Then the nay-sayers came up with a bunch of new qualifications about what “real” AI would be, because they made the wrong assumptions in the first place. The same things are happening right now in the current conversation around AI.

      My point is that there has been historically substantial goal post moving around this domain, and the nay-sayers have been consistently demonstrated to be wrong. Its fun and trendy to be a naysayer. It makes you seem smarter than you are. But we’ve failed to come up with an even basic definition of ‘intelligence’ that is useful for informing debate, let alone a useful definition for what is or is not ‘artificial intelligence’.

      I think we’ll have systems that are indistinguishable if not significantly better at most tasks than humans in 2-3 years. Either you wont be able to tell it wasn’t done by a human, or you’ll be able to tell simply because its so much better than what you would expect a human to be capable of. It will seem ‘super human’ in this regard. Likewise, I think we’ll solve the agency problem as well, at least when looking in from the outside. I don’t think you’ll be able to tell a difference between a machine system or a human operating behind a digital screen, whatsoever, in 2-3 years.

      What is intelligence? What makes some intelligence artificial? Does that divide even really make sense? The whole concept is predicated on the assumption that there is something particularly special about whatever it is that humans possess, and when I see people moving goalposts, it strikes me that they are mostly working to protect “whatever” it is that humans have as something special or divine.

      Realistically, we’re about to get passed on the track. And then, we’re going to get lapped before the naysayers have even noticed we’re not in the lead any more. Its an intentional blindspot.

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• match@pawb.social ⁨8⁩ ⁨months⁩ ago

  it’s nice when words have meaning tho

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  • General_Effort@lemmy.world ⁨8⁩ ⁨months⁩ ago

    Yes. The term AI was coined 70 years ago and specifically includes neural nets. LLMs are definitely AI. I don’t know what definition people use when they say it’s not.

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    • match@pawb.social ⁨8⁩ ⁨months⁩ ago

      Sure, but 60 years ago they coined “machine learning” when it became clear that there was going to be more work needed to emulate intelligence

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      • General_Effort@lemmy.world ⁨8⁩ ⁨months⁩ ago

        That’s wrong. Machine learning is considered part of AI. AI is not necessarily about learning. EG game AI typically doesn’t learn/improve.

        emulate intelligence

        Feel free to define intelligence and/or emulated intelligence.

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  • jackalope@lemmy.ml ⁨8⁩ ⁨months⁩ ago

    Ai is a field. Using it in an appeal to “true ai” is meaningless.

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