• pewpew
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    1 year ago

    but the I in AI it’s actually a lowrcase L, so it’s short for Algorithm

    • ShortFuse@lemmy.world
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      1 year ago

      It kinda annoys me that the lowercase L glyph is taller than capital A. I don’t mind there being a difference, but cap-height should be taller than lowercase letters.

      Illuminati

    • thisisnotgoingwell@programming.dev
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      1 year ago

      I’m guessing he’s saying companies are still using the same human written code, but since AI is sexy right now and is being used to describe even simple programming logic, everything is “powered by AI”

      • andrew@lemmy.stuart.fun
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        1 year ago

        And in 2013 the key word for marketing was algorithm. The YouTube algorithm. The reddit algorithm. Etc.

      • fidodo@lemm.ee
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        1 year ago

        That was true like 5 years ago, but now companies are just irresponsibly calling out to LLMs as a function without proper safe guards instead.

      • kautau@lemmy.world
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        1 year ago

        Even more likely is that AI’s that write code are trained on human created code. So they aren’t coming up with new, novel ideas to problems in most cases, they are just a far more advanced “copy and paste from StackOverflow”

          • kautau@lemmy.world
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            1 year ago

            Hey just remember the classic Quora answer:

            https://www.quora.com/Why-should-I-hire-a-software-engineer-if-I-can-just-copy-and-paste-code-from-Stack-Overflow

            They are paying $100,000. $1 to copy and paste code from stack overflow, and $99,999 to know where and when to paste the code and how to make it work.

            Domain knowledge is real, and AI might level that up, but you’ll be hard pressed to find a junior engineer armed with the same tools as a senior engineer that gets dropped into a gig and can properly utilize AI or even StackOverflow to be on the same playing field. AI can write me a function. But to figure how broken a legacy codebase is and how that function can solve an issue is why engineers are still valuable…for now

      • r00ty@kbin.life
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        1 year ago

        I’ve heard this talk where I work. Senior plebs describing things that are obviously algorithms as AI. And this of course means we had AI before it was cool.

        Nothing new here. Buzzwords are the only thing senior managers can understand.

          • Xylight (Photon dev)@lemmy.xylight.dev
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            1 year ago

            (This isn’t my opinion, just saying what I think they are)

            They are saying it’s not intelligent in any way though. It sees a bunch of words as numbers and spits out some new numbers that the prediction algorithm creates.

            • LoafyLemon@kbin.social
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              1 year ago

              What you’re thinking of as AI is actually a narrower version, while true intelligence is termed AGI.

              Explanation:
              The term ‘AI’ (Artificial Intelligence) refers to computer systems that can perform tasks that would typically require human intelligence, like recognizing patterns or making decisions. However, most AI systems are specialized and focused on specific tasks.

              On the other hand, ‘AGI’ (Artificial General Intelligence) refers to a higher level of AI that possesses human-like cognitive abilities. AGI systems would be capable of understanding, learning, and applying knowledge across a wide range of tasks, much like us.

              So, the distinction lies in the breadth of capabilities: AI refers to more specialized, task-focused systems, while AGI represents a more versatile and human-like intelligence.

              • BlinkAndItsGone@lemm.ee
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                1 year ago

                The term ‘AI’ (Artificial Intelligence) refers to computer systems that can perform tasks that would typically require human intelligence,

                That’s everything computers do, though, isn’t it? Pocket calculators would have fit this definition of AI in the 1970s. In the '60s, “computer” was a human job title.

                • LoafyLemon@kbin.social
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                  1 year ago

                  Unless your pocket calculator can recognise patterns or make decisions, it doesn’t fit the description.

            • jadero@programming.dev
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              1 year ago

              Fair enough. What evidence have you got that it’s any different than what humans do? Have you looked around? How many people can you point to that are not just regurgitating or iterating or recombining or rearranging or taking the next step?

              As far as I can tell, much of what we call intelligent activity can be performed by computer software and the gaps get smaller every year.

            • Yendor@sh.itjust.works
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              1 year ago

              That’s not how ChatGPT works.

              GPT is an LLM that use RNN. An RNN (Recurrent neural network) is not an algorithm.

                • Yendor@sh.itjust.works
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                  1 year ago

                  Yea, but not really. The algorithms are available for free, but they don’t do anything useful by themselves. The RNN is built by training the neural net, which uses grading/classification of training data to increase or decrease millions of coefficients of a multi-layer filter. It’s the training data, the classification feedback and the processing power that actually creates the AI.

    • obosob@feddit.uk
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      1 year ago

      Yeah, just use a char for card and test

      if(card < '7') count++;
      else count--;
      

      Or something, don’t mix types.

        • obosob@feddit.uk
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          1 year ago

          Chars are just numbers, but yeah, an enum would work fine too, sure. The only advantage with using a char for it is that there’s no conversion needed for outputting them into strings so it’s a little easier. Less code, very readable, etc. Though yeah, thinking about it JQKA wouldn’t be numerically in the right order which could cause issues if the program did more than just implement HiLo

    • rho_@lemmy.world
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      1 year ago

      Half of it. This gives you the running count. You need to also keep track of “number of decks in shoe” -“number of cards dealt since last shuffle”/52 to tell you how many decks are left in the shoe, then divide the running count by the number of decks left to give you a true count.

      True count higher than 1? Start increasing your bet accordingly.