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  • > LLMs are not brains and do not meaningfully share any of the mechanisms that animals or people use to reason or think

    LLMs are a type of neural network. We know that’s how the human brain works, at least directionally. It’s going to be very upsetting to a lot of people when we figure out that the brain is just a neural network. Akin to when we found out that humans and apes evolved from a common ancestor.

    Which I don’t understand—most of the people having this cognitive dissonance presumably do not have a theological worldview. And there’s not exactly a direct theological conflict here anyway. Nothing in any major religion I’m aware of ascribes any supernatural explanation to cognition. It’s a biological computational process, just like using ATP to power muscle fibers to move your limbs is a biological mechanical process.

  • Building up strawmen against LLMs will only make the hypers look more reasonable. A language model responds to inouts exactly as a model of anything else would. That is enough to explain all the "intelligence" without believing a model is somehow a "new kind of mind". Those who think LLMs are intelligent don't know enough about models. And those who think they are useless don't know enough about models.
  • I don't care if it's "intelligent", I don't care if it "has a mind". I don't care if it is "really reasoning", I don't care if it "understands". I don't care if it is "sentient" or "conscious".

    None of this matters for the practical outcome.

    You'd think that this has been understood over the last 4 years, but apparently it keeps circling back to this.

    [Edit: I see that it was written back in 2023. Then (2023) should be added in the submission title]

    If it generates functional output that works, then it works. And it works. It's not a psychic's con when it outputs Lean-verified proofs. It isn't a con when it can find and exploit zero-days.

    The OP is still in the "denial" phase. Most I see are already in "anger" (a blurry fury against everything AI-shaped, from vague reasons piling on all "bad stuff" political reasons they already hated before) or "bargaining" (mathematicians scrambling to come up with a new definition of their job and retcon that it was always the main part anyway). A few are already in "depression" and feel like spectators on the Titanic, and the tiniest sliver is at "acceptance" with some kind of well-informed plan for their future.

  • I would understand to read this kind of articles in 2023ish, but for what they can do now... It is not even if they are "intelligent" is what intelligence even is. I think it is undeniable that there is a level of capacity increasing with each new model, and how would you call that? There is an illusion in LLM's, but that illusion, in my point of view, is about how much of an "entity" each chat bot is, not if they are capable of mimic intelligence or not.
  • Interesting to me is the tension between remarks along the lines that this post maybe made sense in 2023, but not today, or how LLMs clearly show intelligence by solving Navier-Stokes, et cetera; versus the comments I read here often as well: "it's just a tool".

    I can't quite put my finger on it, but aren't these two statements add odds with each other? Intelligence is hard to define, consciousness even more so, but wouldn't "intelligence" imply some sort of agency? If not, I'd argue computers were intelligent long before the age of LLMs. And likewise, doesn't a tool imply the lack of intelligence and agency, even if the tool's function is very elaborate?

    I got the impression that both these statements are made by the same people, or at least people with similar takes on AI. Is that wrong and there are "intelligence" and "tool" factions? Or do people disagree with my assumption and there's nothing wrong with the concept of "intelligent tools"?

    Kinda refreshing this discussion, compared to the builder vs. tinkerer debates, imo.

  • I can’t believe some still believe that humans are intelligent, despite there being no place where matrices are multiplied. All they have are these networks of interconnected cytoplasm-filled microtubules, which is no proper place for intelligence to live.
    by pohl
  • I don’t understand why people jump so readily to seeing intelligence here. Science fiction has as a core, central trope that humans will debase and devalue other types of life they do not understand. Even the storied Commander Data has to fight for the right to self-determination (probably the best episode of STTNG by the way - ‘The Measure of a Man’). We were so worried that we’d undervalue intelligence when apparently our knee-jerk response is to overvalue it. Perhaps this has changed over time and we’re now primed by science fiction and instincts towards social justice, but I worry that we’re really just undervaluing ourselves.

    The one thing this 2023 article gets partially correct imo is that any intelligence we see in AI (as of 2026) is our own - not that it’s a mirror but that the intelligence comes from the way that the words are put together, which comes from written human language created by (allegedly) intelligent creatures put in as input in both the training and prompt, among other places.

    Rearranging and repeating the words, even in context, does not intelligence make. I’m not even convinced that you’re intelligent, dear reader.

  • The challenge here is in trying to decide whether LLMs are intelligent or have a mind. Famously, the criteria for intelligence seem to slip with each advancement in technology. But going back to Turing, his test was actually more carefully phrased than we remember: he said that when machines could pass the test, the question of whether they are intelligent would become moot. That seems to be what we're actually seeing: if people can't tell the difference, it kind of won't matter whether they're "truly intelligent" or not.

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Chat-based Large Language Models replicate the mechanisms of a psychic's con · Birbla