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CIRCLE WITH A DOT

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  3. One of Rusty's all time best, well worth your time: https://www.todayintabs.com/p/a-i-isn-t-people

One of Rusty's all time best, well worth your time: https://www.todayintabs.com/p/a-i-isn-t-people

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  • codinghorror@infosec.exchangeC This user is from outside of this forum
    codinghorror@infosec.exchangeC This user is from outside of this forum
    codinghorror@infosec.exchange
    wrote last edited by
    #1

    One of Rusty's all time best, well worth your time: https://www.todayintabs.com/p/a-i-isn-t-people

    blabberlicious@toot.communityB sylvhem@eldritch.cafeS mistergenest@c.imM avirr@sfba.socialA thinkling@mastodon.socialT 7 Replies Last reply
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    • codinghorror@infosec.exchangeC codinghorror@infosec.exchange

      One of Rusty's all time best, well worth your time: https://www.todayintabs.com/p/a-i-isn-t-people

      blabberlicious@toot.communityB This user is from outside of this forum
      blabberlicious@toot.communityB This user is from outside of this forum
      blabberlicious@toot.community
      wrote last edited by
      #2

      @codinghorror @temptoetiam
      “Saying that any of this is teaching a chatbot philosophy is like calling yourself a psychiatrist because you thought about Oedipus while jacking off. “

      🧑‍🍳💋

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      • codinghorror@infosec.exchangeC codinghorror@infosec.exchange

        One of Rusty's all time best, well worth your time: https://www.todayintabs.com/p/a-i-isn-t-people

        sylvhem@eldritch.cafeS This user is from outside of this forum
        sylvhem@eldritch.cafeS This user is from outside of this forum
        sylvhem@eldritch.cafe
        wrote last edited by
        #3

        @codinghorror “Imagine you have two machines. One you can open up and examine all of its workings, and if you give it every picture of a cat on the whole internet, it can reliably distinguish cats from non-cats. The other is a black box and it can also reliably distinguish cats from non-cats if you give it half a dozen pictures of cats, some apple sauce, and a hug. These machines sort of do the same thing, but even without knowing how the second one works I am extremely confident in saying it doesn’t work the same way as the first one.”

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        • R relay@relay.an.exchange shared this topic
        • codinghorror@infosec.exchangeC codinghorror@infosec.exchange

          One of Rusty's all time best, well worth your time: https://www.todayintabs.com/p/a-i-isn-t-people

          mistergenest@c.imM This user is from outside of this forum
          mistergenest@c.imM This user is from outside of this forum
          mistergenest@c.im
          wrote last edited by
          #4

          @codinghorror

          Thank you - still reading. But, this:

          " Andrej Karpathy recently implemented a fully functional large language model in 200 lines of Python code. He also wrote a detailed explanation of exactly what it does, how it works, and the ways it differs from big company frontier models, which are all just differences of scale and efficiency."

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          • codinghorror@infosec.exchangeC codinghorror@infosec.exchange

            One of Rusty's all time best, well worth your time: https://www.todayintabs.com/p/a-i-isn-t-people

            avirr@sfba.socialA This user is from outside of this forum
            avirr@sfba.socialA This user is from outside of this forum
            avirr@sfba.social
            wrote last edited by
            #5

            @codinghorror If it was just cats it would be one thing, but having non-deterministic systems identify tumors or drones is terrifying

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            • codinghorror@infosec.exchangeC codinghorror@infosec.exchange

              One of Rusty's all time best, well worth your time: https://www.todayintabs.com/p/a-i-isn-t-people

              thinkling@mastodon.socialT This user is from outside of this forum
              thinkling@mastodon.socialT This user is from outside of this forum
              thinkling@mastodon.social
              wrote last edited by
              #6

              @codinghorror I think there are a bunch of terrible arguments in that essay. Focusing on the 200 lines of Python is like saying “meat that thinks?!” Everyone thinks human intelligence is so special and I think we’re going to come out of this in 5 or 10 or 20 years and conclude that it isn’t as special as we thought, just like Life wasn’t due to a special life force and souls don’t exist. 1/

              thinkling@mastodon.socialT 1 Reply Last reply
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              • thinkling@mastodon.socialT thinkling@mastodon.social

                @codinghorror I think there are a bunch of terrible arguments in that essay. Focusing on the 200 lines of Python is like saying “meat that thinks?!” Everyone thinks human intelligence is so special and I think we’re going to come out of this in 5 or 10 or 20 years and conclude that it isn’t as special as we thought, just like Life wasn’t due to a special life force and souls don’t exist. 1/

                thinkling@mastodon.socialT This user is from outside of this forum
                thinkling@mastodon.socialT This user is from outside of this forum
                thinkling@mastodon.social
                wrote last edited by
                #7

                @codinghorror The question is not what the 200 lines of code do, they are merely like the handful of neurotransmitters in out biology. The question is what’s going on in the billions of model parameters that seem to encode not only word patterns but also some algorithms for behavior.

                The issue of needing to see more training examples than humans need has been addressed by pointing to the work evolution has done in shaping humans that we need to do brute force for LLMs. 2/

                thinkling@mastodon.socialT 1 Reply Last reply
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                • thinkling@mastodon.socialT thinkling@mastodon.social

                  @codinghorror The question is not what the 200 lines of code do, they are merely like the handful of neurotransmitters in out biology. The question is what’s going on in the billions of model parameters that seem to encode not only word patterns but also some algorithms for behavior.

                  The issue of needing to see more training examples than humans need has been addressed by pointing to the work evolution has done in shaping humans that we need to do brute force for LLMs. 2/

                  thinkling@mastodon.socialT This user is from outside of this forum
                  thinkling@mastodon.socialT This user is from outside of this forum
                  thinkling@mastodon.social
                  wrote last edited by
                  #8

                  @codinghorror And yes, there *are* issues with lack of grounding in the physical world.

                  I don’t think LLMs are synthetic humans or have emotions, but once we run these things with persistent state and long continuous loops, I expect the results to start to resemble humans a lot more.

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                  • codinghorror@infosec.exchangeC codinghorror@infosec.exchange

                    One of Rusty's all time best, well worth your time: https://www.todayintabs.com/p/a-i-isn-t-people

                    gunstick@mastodon.opencloud.luG This user is from outside of this forum
                    gunstick@mastodon.opencloud.luG This user is from outside of this forum
                    gunstick@mastodon.opencloud.lu
                    wrote last edited by
                    #9

                    @codinghorror best point is right away at the start. Intelligence does not need "all the data" to learn.

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                    • codinghorror@infosec.exchangeC codinghorror@infosec.exchange

                      One of Rusty's all time best, well worth your time: https://www.todayintabs.com/p/a-i-isn-t-people

                      gary_alderson@infosec.exchangeG This user is from outside of this forum
                      gary_alderson@infosec.exchangeG This user is from outside of this forum
                      gary_alderson@infosec.exchange
                      wrote last edited by
                      #10

                      @codinghorror ai is people the question is what are they going to do?

                      #techcrunch.com

                      https://techcrunch.com/2026/02/20/the-openai-mafia-15-of-the-most-notable-startups-founded-by-alumni/

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