• Linkerbaan@lemmy.world
    link
    fedilink
    English
    arrow-up
    33
    arrow-down
    5
    ·
    11 months ago

    Just what we needed. AI creating more battery types that will never be produced.

    • bigkahuna1986@lemmy.ml
      link
      fedilink
      English
      arrow-up
      15
      ·
      11 months ago

      It used to take marketing human beings to make up battery types that never get released. Now AI is taking their jobs!

        • grayman@lemmy.world
          link
          fedilink
          English
          arrow-up
          1
          arrow-down
          1
          ·
          edit-2
          11 months ago

          Look them up. Neurons excite elections in layered plates. It’s suspected to be some lost Tesla technology. It may have been around but kept secret for decades. Also, on the known tech side, nuclear bombs generate a ton of neutrons. So harness that energy better and we have a lot more power for cheap. Next gen nuclear tech is cool.

          • TonyTonyChopper@mander.xyz
            link
            fedilink
            English
            arrow-up
            1
            arrow-down
            1
            ·
            11 months ago

            I can’t find anything about this. Any “lost/secret Tesla technology” is typically quack snake oil. He’s been dead since before nuclear energy was developed.

            • grayman@lemmy.world
              link
              fedilink
              English
              arrow-up
              1
              arrow-down
              1
              ·
              11 months ago

              So because your half ass attempt to find something on Google didn’t work, it must not exist? Come on man!

              Top result in YT for Neutrino Engine https://youtu.be/6YEO8Qit1Bw

              Top result in a search engine not linking to scifi stuff: https://www1.grc.nasa.gov/space/sep/gridded-ion-thrusters-next-c/

              There’s plenty more info too. Those are just top results from the first page.

              Tesla had a fire. A lot of his papers were lost and he was notorious for not having much documentation. The technology matches what some people had claimed to be Tesla’s free energy machine. Maybe this wasn’t it. No one knows. Just because he didn’t experiment with fusion or fission that doesn’t mean he didn’t experiment with neutrinos. There’s billions passing through your body right now. Given they interact with gravity and electromagnetism, it is not that hard to believe Tesla may have figured out how to harness them in some super rudimentary way.

              • TonyTonyChopper@mander.xyz
                link
                fedilink
                English
                arrow-up
                1
                arrow-down
                1
                ·
                edit-2
                11 months ago

                As a preface I’m a scientist.

                Neutrons and neutrinos are different classes of particles. I didn’t get any results because you told me the wrong thing to search for. Cursory searches agree with what I said earlier, it’s yet another goofy Tesla “free energy” pipe dream. Science has come incredibly far since the early 1900s, no one works as independent inventors or physicists anymore because we have huge institutions and advanced instruments to perform work as a collaboration. Neutrinos only interact with matter very weakly, as you said, so detecting them let alone setting up an absorber is technically challenging. On the other hand the sun gives off a huge amount of energy as electromagnetic waves so it hurts to look directly at it.

                Research “photovoltaic solar energy” to learn more.

    • TonyTonyChopper@mander.xyz
      link
      fedilink
      English
      arrow-up
      2
      ·
      11 months ago

      This is one of the few cases where AI is actually a good idea… it takes a really long time to search for new materials with experiments

      • intensely_human@lemm.ee
        link
        fedilink
        English
        arrow-up
        1
        ·
        11 months ago

        They used the AI to narrow 23 milliom candidate materials down to a few hundred, then focused on testing the ones out of that set that hadn’t been tested yet.

        In terms of AI speeding up research this is enormous.