• Optional
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    4017 hours ago

    Did someone not know this like, pretty much from day one?

    Not the idiot executives that blew all their budget on AI and made up for it with mass layoffs - the people interested in it. Was that not clear that there was no “reasoning” going on?

    • @[email protected]
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      1612 hours ago

      there’s a lot of people (especially here, but not only here) who have had the insight to see this being the case, but there’s also been a lot of boosters and promptfondlers (ie. people with a vested interest) putting out claims that their precious word vomit machines are actually thinking

      so while this may confirm a known doubt, rigorous scientific testing (and disproving) of the claims is nonetheless a good thing

      • @[email protected]
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        35 hours ago

        No they do not im afraid, hell I didnt even know that even ELIZA caused people to think it could reason (and this worried the creator) until a few years ago.

    • @[email protected]
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      16 hours ago

      Well, two responses I have seen to the claim that LLMs are not reasoning are:

      1. we are all just stochastic parrots lmao
      2. maybe intelligence is an emergent ability that will show up eventually (disregard the inability to falsify this and the categorical nonsense that is our definition of “emergent”).

      So I think this research is useful as a response to these, although I think “fuck off, promptfondler” is pretty good too.

    • DarkThoughts
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      1315 hours ago

      A lot of people still don’t, from what I can gather from some of the comments on “AI” topics. Especially the ones that skew the other way with its “AI” hysteria is often an invite from people who know fuck all about how the tech works. “Nudifier” or otherwise generative images or explicit chats with bots that portray real or underage people being the most common topics that attract emotionally loaded but highly uninformed demands and outrage. Frankly, the whole “AI” topic in the media is so massively overblown on both fronts, but I guess it is good for traffic and nuance is dead anyway.

      • Optional
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        715 hours ago

        Indeed, although every one of us who have seen a tech hype train once or twice expected nothing less.

        PDAs? Quantum computing. Touch screens. Siri. Cortana. Micropayments. Apps. Synergy of desktop and mobile.

        From the outset this went from “hey that’s kind of neat” to quite possibly toppling some giants of tech in a flash. Now all we have to do is wait for the boards to give huge payouts to the pinheads that drove this shitwagon in here and we can get back to doing cool things without some imaginary fantasy stapled on to it at the explicit instruction of marketing and channel sales.

        • @[email protected]
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          4 hours ago

          Xml also used to be a tech hype for a bit.

          And i still remember how media outlets hyped up second life, forgot about it and a few months later discovered it again and more hype started. It was fun.

          • Optional
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            612 hours ago

            Yeah a huge thing at one point. Anyone use a laptop with a tochscreen?

            • @[email protected]
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              35 hours ago

              The trackpad and trackpoint of my aging linux laptop stop working if the thing gets its lid shut. The touchscreen continues to work just fine, however. It turns out that while two stupid things can’t make a good thing, they can sometimes cancel each other out.

    • @[email protected]
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      16 hours ago

      Yes.

      But the lies around them are so excessive that it’s a lot easier for executives of a publicly traded company to make reasonable decisions if they have concrete support for it.

    • astrsk
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      516 hours ago

      Isn’t OpenAI saying that o1 has reasoning as a specific selling point?

        • astrsk
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          38 hours ago

          Which is my point, and forgive me, but I believe is the point of the research publication.

      • DarkThoughts
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        515 hours ago

        My best guess is it generates several possible replies and then does some sort of token match to determine which one may potentially be the most accurate. Not sure if I’d call that “reasoning” but I guess it could potentially improve results in some cases. With OpenAI not being so open it is hard to tell though. They’ve been overpromising a lot already so it may as well be just complete bullshit.

        • @[email protected]
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          412 hours ago

          My best guess is it generates several possible replies and then does some sort of token match to determine which one may potentially be the most accurate.

          Didn’t the previous models already do this?