Meta, Aitomatic, and other members of the AI Alliance have released the world's first large language model specifically trained on the needs of the semiconductor industry.
  • MonkderVierte@lemmy.mlEnglish
    22·
    3 days ago

    the semiconductor industry desperately needs to collect expert information. Many aging experts are retiring and taking their knowledge with them

    So let’s feed their knowledge to a Large Language Model, instead of building a knowledge base.

  • Natanael@slrpnk.netEnglish
    142·
    4 days ago

    Automating hardware bugs, etc? An LLM is absolutely not the right tool for nanometer scale physics

    • Cocodapuf@lemmy.worldEnglish
      3·
      4 days ago

      Why do you say that?

      I mean my intuition would tend to agree with you, but if it works… I could believe it.

      So I’m just wondering why you would assert that this is a bad idea? What don’t I know?

  • CmdrShepard42@lemm.eeEnglish
    71·
    4 days ago

    SemiKong advertises a 20-30% reduction in time to market for new chip designs and a 20% improvement in first-time-right manufacturing scores.

    Oh yeah? How is that accomplished when it can take a decade of development to get a new CPU out the door? Was this developed a decade ago?

    • Buffalox@lemmy.worldEnglish
      7·
      4 days ago

      You know there are simpler custom chips too right?

      That said, it sounds a bit like bullshit to me too.

      • CmdrShepard42@lemm.eeEnglish
        2·
        4 days ago

        Totally but if we’re talking about simple custom chips, my point still stands as there is nothing to compare a custom chip to and the simplicity doesn’t seem to necessitate a LLM to map out.

        • Cocodapuf@lemmy.worldEnglish
          2·
          4 days ago

          That doesn’t follow at all…

          the simplicity doesn’t seem to necessitate a LLM to map out.

          So are you saying that if something is so simple that you could do it in a week, then it isn’t worth using a tool that would get it done in 4 days?

          I mean, no that doesn’t necessitate use of a LLM. But by that logic, doing math never necessitates the use of a calculator, just do it on paper. Sure, you could…

          • CmdrShepard42@lemm.eeEnglish
            2·
            3 days ago

            I’m saying there are simple and difficult chips to map out and the simple ones shouldn’t need this by virtue of being simple.

            Your analogy of using a computerized tool to complete a task doesn’t really hold as the math you use a calculator for wouldn’t be considered “simple math.”

            • Cocodapuf@lemmy.worldEnglish
              4·
              3 days ago

              No, the analogy is fine. If you have a task (math in the previous example) that takes some amount of time (doesn’t matter how much), is it worth using a tool (calculator) that makes it faster?

              That was the analogy.

    • rottingleaf@lemmy.worldEnglish
      31·
      3 days ago

      I mean … the kind of CPUs that take this much are probably unnecessary for many things. One can run quests, something like Doom, something like SW: Rebellion and SW: X-Wing Alliance on hardware from simpler times. One can also, surprisingly but not, do office tasks and listen to music on the same hardware. One can even render things like Babylon 5 computer-made parts on it. I would love to live in such a world. Also with modern processes and voltages such hardware could probably be insanely energy-efficient as compared to what we commonly use.

      That said, I can understand machine generation and optimization of chip designs, and machine checking of them. Something they already do, I’m certain.

      But what the hell would an LLM contribute there, seems unclear for me.