James Cameron on AI: “I warned you guys in 1984 and you didn’t listen”::undefined

    • Orphie Baby@lemmy.world
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      1 year ago

      I’m not saying there’s nothing to be afraid of concerning today’s “AI”, but it’s not comparable to movie/book AI.

        • eee@lemm.ee
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          1 year ago

          Yes, sure. I meant things like employment, quality of output

          That applies to… literally every invention in the world. Cars, automatic doors, rulers, calculators, you name it…

          • stooovie@lemmy.world
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            1 year ago

            With a crucial difference - inventors of all those knew how the invention worked. Inventors of current AIs do NOT know the actual mechanism how it works. Hence, output is unpredictable.

            • drekly@lemmy.world
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              1 year ago

              Lol could you provide a source where the people behind these LLMs say they don’t know how it works?

              Did they program it with their eyes closed?

              • stooovie@lemmy.world
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                1 year ago

                Yes I can. example

                Opposed to other technology, nobody knows the internal structure. Input A does not necessarily produce output B.

                Whether you like it or not is irrelevant.

                • drekly@lemmy.world
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                  1 year ago

                  “Whether you like it or not is irrelevant.”

                  That’s a very hostile take.

                  I just think it’s wild they wouldn’t know how it works when they’re the ones who created it. How do you program something that you don’t understand?! It’s crazy.

                  • stooovie@lemmy.world
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                    1 year ago

                    It is, sorry. It was a Reaction to the downvotes. But at this point I’m a bit allergic to the “it’s the same as every other invention” argument. It’s not, precisely for this reason. It’s a bit like “climate is always changing” - yes, but not within decades or centuries. These details are crucial.

                  • BURN@lemmy.world
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                    1 year ago

                    Basically with neural networks you program the way it injests data and how it outputs data. Everything else in between is constantly updating statistical algorithms. Developers can look at those algorithms, but it’s extremely hard to map that back out into human readable content.

              • vrighter@discuss.tchncs.de
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                1 year ago

                they program it to learn. They can tell you exactly how it learns, but not what it learned (there are some techniques to give some small insights, but not even close to the full picture)

                Problem is, how it behaves nepends on how it was programmed and what it learned after being trained. Since what it learned is a black box, we cannot explain their behaviour