As the AI market continues to balloon, experts are warning that its VC-driven rise is eerily similar to that of the dot com bubble.

  • Orphie Baby@lemmy.world
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    1 year ago

    Current “AI” doesn’t solve problems. It doesn’t understand context. It can’t see fingers and say “those are fingers, make sure there’s only five”. It can’t tell the difference between a truth and a lie. It can’t say “well that can’t be right!” It just regurgitates an amalgamation of things humans have showed it or said, with zero understanding. “Consciousness” and certainly “sapience” aren’t really relevant factors here.

      • Orphie Baby@lemmy.world
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        1 year ago

        No? There’s a whole lot more to being human than being able to separate one object from another and identify it, recognize that object, and say “my database says that there should only be two of these in this context”. Current “AI” can’t even do that much-- especially not with art.

        Do you know what “sapience” means, by the way?

    • magic_lobster_party@kbin.social
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      1 year ago

      You’re confusing AI with AGI. AGI is the ultimate goal of AI research. AI are all the steps along the way. Step by step, AI researchers figure out how to make computers replicate human capabilities. AGI is when we have an AI that has basically replicated all human capabilities. That’s when it’s no longer bounded by a particular problem.

      You can use the more specific terms “weak AI” or “narrow AI” if you prefer.

      Generative AI is just another step in the way. Just like how the emergence of deep learning was one step some years ago. It can clearly produce stuff that previously only humans could make, which in this case is convincing texts and pictures from arbitrary prompts. It’s accurate to call it AI (or weak AI).

      • Orphie Baby@lemmy.world
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        1 year ago

        Yeah, well, “AGI” is not the end result of this generative crap. You’re gonna have to start over with something different one way or another. This simply is not the way.