• Semi-Hemi-Demigod
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    71 year ago

    So what? It figured out The Answer, big whoop.

    Get back to me when it figures out The Question.

  • Kyre
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    31 year ago

    Well… I was not aware Chatgpt could make simple graphs.

    • The Octonaut
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      71 year ago

      Temperature is basically how creative you want the AI to be. The lower the temperature, the more predictable (and repeatable) the response.

    • @kciwsnurb@aussie.zone
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      91 year ago

      The temperature scale, I think. You divide the logit output by the temperature before feeding it to the softmax function. Larger (resp. smaller) temperature results in a higher (resp. lower) entropy distribution.

        • @kciwsnurb@aussie.zone
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          11 year ago

          Each row in the figure is a probability distribution over possible outputs (x-axis labels). The more yellow, the more likely (see the colour map on the right). With a small temperature (e.g., last row), all the probability mass is on 42. This is a low entropy distribution because if you sample from it you’ll constantly get 42, so no randomness whatsoever (think entropy as a measure of randomness/chaos). As temperature increases (rows closer to the first/topmost one), 42 is still the most likely output, but the probability mass gets dispersed to other possible outputs too (other outputs get a bit more yellow), resulting in higher entropy distributions. Sampling from such distribution gives you more random outputs (42 would still be frequent, but you’d get 37 or others too occasionally). Hopefully this is clearer.

          Someone in another reply uses the word “creativity” to describe the effect of temperature scaling. The more commonly used term in the literature is “diversity”.

  • FIash Mob #5678
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    221 year ago

    HA, funny that this comes up. DND Beyond doesn’t have a d100, so I opened my ChatGPT sub and had it roll a d100 for me a few times so I could use my magic beans properly.

    • @TauriWarrior@aussie.zone
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      1 year ago

      Opened up DND Beyond to check since i remember rolling it before and its there, its between D8 and D10, the picture shows 2 dice

    • The Cuuuuube
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      71 year ago

      But why use Chatgpt for that? Why not a duck duck go action? I just don’t understand why we’re asking a LLM whose goal is consistency, not randomness, to do random

        • @Urist@lemmy.ml
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          1 year ago

          Yup! Also one has to mind the order in which one rolls the dice. Since 10 and 5 could be either 05 or 50. As a bonus, if you roll them in order of “tens” to “ones”, getting 10 on the first dice has added suspense since the latter dice determines if it is going to count as a low roll of 0X (by rolling 1-9 on the next dice X) or if it is going to be a max roll of 100 (by rolling another 10).

  • @Phroon@beehaw.org
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    1521 year ago

    “You may not instantly see why I bring the subject up, but that is because my mind works so phenomenally fast, and I am at a rough estimate thirty billion times more intelligent than you. Let me give you an example. Think of a number, any number.”

    “Er, five,” said the mattress.

    “Wrong,” said Marvin. “You see?”

    ― Douglas Adams, Life, the Universe and Everything

      • @Asafum@feddit.nl
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        1 year ago

        Yep! The hitchhikers books are so much fun lol

        I still think one of my favorite lines is “the ships hung in the sky in much the same way that bricks don’t.”

  • @Wirlocke@lemmy.blahaj.zone
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    1 year ago

    I’m curious, is there actually so many 42’s in the system? (more than 69 sounds unlikely)

    What if the LLM is getting tripped up because 42 is always referred to as the answer to “the Ultimate Question of Life, the Universe, and Everything”.

    So you ask it a question like give a number between 1-100, it answers 42 because that’s the answer to “Everything”, according to it’s training data.

    Something similar happened to Gemini. Google discouraged Gemini from giving unsafe advice because it’s unethical. Then Gemini refused to answer questions about C++ because it’s considered “unsafe” (referring to memory management). But Gemini thinks C++ is “unsafe” (the normal meaning), therefore it’s unethical. It’s like those jailbreak tricks but from its own training set.

    • Corgana
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      81 year ago

      I’m curious, is there actually so many 42’s in the system?

      Sort of, it’s not actually picking a random number. It does not know what “random” means. It is analyzing the number of times the question “pick a random number” was asked and what the most common responses to that question looked like.

    • @exanime@lemmy.today
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      21 year ago

      I’m curious, is there actually so many 42’s in the system? (more than 69 sounds unlikely)

      From hitchhiker’s guide to the galaxy?

  • ForestOrca
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    251 year ago

    WAIT A MINUTE!!! You mean Douglas Adams was actually an LLM?

  • ancap shark
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    211 year ago

    LMs aren’t thinking, aren’t inventing, they are predicting what is supposed to be answered next, so it’s expected that they will produce the same results every time

    • @xthexder@l.sw0.com
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      1 year ago

      This graph actually shows a little more about what’s happening with the randomness or “temperature” of the LLM.
      It’s actually predicting the probability of every word (token) it knows of coming next, all at once.
      The temperature then says how random it should be when picking from that list of probable next words. A temperature of 0 means it always picks the most likely next word, which in this case ends up being 42.
      As the temperature increases, it gets more random (but you can see it still isn’t a perfect random distribution with a higher temperature value)

    • @eluvatar@programming.dev
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      41 year ago

      Except it clearly doesn’t produce the same result every time. You’re not making a good case for whatever you’re trying to say.

      • Cethin
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        51 year ago

        They add some fuzziness to it so it doesn’t give the exact same result. Say one gets a score of 90, another 85, and other 80. The 90 will be picked more often, but they sometimes let it pick the 85, or even the 80. It’s perfectly expected, and you can see that result here with 42 being very common, but then a few others being fairly common, and most being extremely uncommon.

  • @xyguy@startrek.website
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    101 year ago

    Only 1000 times? It’s interesting that there’s such a bias there but it’s a computer. Ask it 100,000 times and make sure it’s not a fluke.

  • Rook
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    171 year ago

    Which model?

    When I tried on ChatGPT 4, it wrote a short python script and executed it to get a random integer.

    import random
    
    # Pick a random number between 1 and 100
    random_number = random.randint(1, 100)
    random_number
    
    • @Umbrias@beehaw.org
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      21 year ago

      That’s not answering the question though.

      “Pick a number between 1 and 100” doesn’t mean “grab two d10” or write a script.

      • Amju Wolf
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        101 year ago

        It generates code and then you can use a call to some runtime execution API to run that code, completely separate from the neural network.

  • @Blackmist@feddit.uk
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    51 year ago

    I spent an afternoon once playing Infinite Craft, which uses some sort of LLM behind the scenes to do it’s combinations.

    At one point I got 007, and found 007+007 = 0014.

    The maths gets wild though, and because it’s been trained on text, it has no idea when it comes to combinations of numbers it hasn’t seen before. I spent ages trying to get it to 69420 and just couldn’t, although I could get 42069.

  • aname
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    291 year ago

    Ask humans the same and most common numer is 37

      • @erwan@lemmy.ml
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        11 year ago

        In his video, he shows that the more common answers are actually 42 and 69.

        I discards them because they’re picked for a reason rather than a human genuinely trying trying to pick a random number, but they’re still way more common than 37.

        • @lemmyingly@lemm.ee
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          21 year ago

          That’s because they asked the internet for those polls. The internet thinks they’re funny by picking the meme numbers. So I can understand why they chose to omit those numbers from their results.

      • Corgana
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        21 year ago

        HOW DID THE TRUCK GET INTO SPACE??

        Love that episode though.

    • Cethin
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      51 year ago

      For very different reasons though. 37 is what people think is the most random, because humans are dumb. The LLM here tried to choose the most likely.