• lime!@feddit.nu
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    1 year ago

    not at all, just as how boston dynamics’ atlas didn’t change how i viewed robocop.

    text generators just have very little in common with intelligent, autonomous artificial entities.

  • liquefy4931@lemmy.world
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    1 year ago

    After I learned how LLMs function, the “AI” we use in reality was categorized within my mind as something entirely new and different from the fictional, cognizant, sapient artificial intelligence in my favorite novels.

  • NKBTN@feddit.uk
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    1 year ago

    They’ve made fictional AI seem that much more far-fetched.

    Obviously, we all learn by imitation and instruction - but LLMs have shown that’s only part of the puzzle

    • ☆ Yσɠƚԋσʂ ☆@lemmy.ml
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      1 year ago

      I think LLMs could provide a human friendly interface for robots. There’s a lot of interesting work happening with embodied AI now, and in my opinion embodiment is the key ingredient for making AI intelligent in a human sense. A robot has to interact with the environment and it builds an internal model of the world for making decisions. This creates a feedback loop where the robot can learn the rules of the world and do meaningful interaction, and that’s precisely what’s missing with LLMs.

  • ℕ𝕖𝕞𝕠@slrpnk.net
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    1 year ago

    No, but actually studying Artificial Intelligence a decade ago in college did.

    We had language models back then, too, they just weren’t as good.

  • FRYD@sh.itjust.works
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    1 year ago

    AI in fiction is a boring concept to me. It’s presented either as “What is a person?” or “What if we create an evil god?”. To me anything with feelings is a person and the other is just a chrome paint job on evil god characters in non sci-fi genres, so it’s just a speculative dead end.

    AI in real life is much more interesting and its proliferation makes fictional AI seem even more bland. Real life AI is first and foremost not intelligent and probably not even close, that said we have no rubric to grade it by because we don’t even really know what intelligence is yet. That said, machine learning algorithms highlight patterns in the world and in our behaviors that are fascinating just because they show just how complicated the world and people are in ways our brains just passively process. Kind of like how QWOP highlights just how difficult and complicated walking is.

  • tias@discuss.tchncs.de
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    1 year ago

    In sci-fi, AI devices (like self-driving cars or ships, or androids) seem like an integrated unit where any controls or sensors they have are like human limbs and senses. The AI “wills” the engine to start. I always imagined AI would be like a single organism where neurons are connected directly to the body.

    Given the development of LLM:s and how they are used, it now seems more likely that AI will be an additional “smart layer” on top of the dumb machinery, and actions are performed by emitting tokens/commands (“raise arm 35 degrees”) that are sent to API:s. The interaction will be indirect in the way that we control the TV with the remote.

      • afb@lemmy.world
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        1 year ago

        Blade Runner’s a bit different since the replicants are flesh and blood, just not naturally born.

  • m532@lemmygrad.ml
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    1 year ago

    I noticed that authors are mostly completely wrong about everything. They can’t write machines. They can’t write animals either. And of course they can’t write aliens. They can only write humans and then use that for “the machine has feelings” bs. Those things in the stories are not machines, they are badly written humans.

  • hera@feddit.uk
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    1 year ago

    Real life LLMs have shown me the potential for the world to be just as miserable and dystopia as in a lot of sci-fi but also if this is where we are now, then maybe most sci-fi doesn’t take it far enough. People will stop thinking for themselves and rely on AI for everything and blindly believe what it tells them.

  • Vanth@reddthat.com
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    1 year ago

    It’s more that the latest few months of AI-related sci-fi is oversaturated with CommentaryTM and DiscourseTM on the dangers of LLMs and I’m getting bored with it.

    I had known about development of the technology for a couple years before it hit the mainstream. I have been completely unsurprised with how it has gone.

    • davidgro@lemmy.world
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      1 year ago

      It stands for Large Language Model, and that’s what ChatGPT, Gemini, Grok, etc are. They are all LLMs. They are also called ‘AI’ (Artificial Intelligence) but they are not at all intelligent, they just match patterns and produce one word at a time like a very complex autocomplete in a phone keyboard.

      They very often get facts wrong, but they are designed to sound confident and knowledgeable even when completely incorrect, which is a problem because humans tend to assume honesty.

  • hera@feddit.uk
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    1 year ago

    This doesn’t really answer the question but I was reading Asimov short story the other day “Belief” and it felt like he’d hit the nail on the head such a long time ago.

  • Sibyls@lemmy.ml
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    1 year ago

    It’s given me an idea of how we get there. Clearly, modern LLMs aren’t near the level as seen in movies, but we will get there. We will move on from LLMs within a few years to a more adaptive model, as we further increase our understanding of AI and neural networks.

    I see modern LLMs as task tools, they can interpret our requests to pass onto a more intelligent model type which will save processing power needed from the newer AIs.

    People in this thread seem to have a lot of bias, they can’t see how the tech will evolve. You need to keep an open mind and look at where tech is being developed, with AI, it will be new architectures.

    • DecaturNature@yall.theatl.social
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      1 year ago

      Their bias is a direct response to the rhetoric from the ‘leaders’ of the AI industry, who have collected billions of dollars and turned it into BS expectations.