This model has been in testing for 3 years and it passed all tests so far.

It already past sevral test and it solves a lot of problems that require dark energy or matter. And problems introduced by the James Webb telescope. It also confirmed cosmic chronometer findings on the expansion history.

It does not disprove models, it just shows that dark matter and energy are not needed and explains why we can’t find them.

Things this model would solve

Link to the article.

Another article

University article

  • xxploit@lemmy.ca
    link
    fedilink
    English
    arrow-up
    36
    arrow-down
    2
    ·
    edit-2
    4 days ago

    TBF they discard fuckton of data from colliders.
    I remember one of the recent-ish spacetime episodes mentioning that they probably “detected” the thing they would need to advance some new theories, but their algorithms for deciding what’s garbage data and what’s useful discarded the data ¯\_(ツ)_/¯

    Edit: hence their new goal at CERN with upcoming upgrades, to increase the amount of collision information captured and retained, instead of just increasing collision energies, which new technologies allow… If only it wasn’t for idiotic ai datacentres hoarding said hardware technology and making it costly for scientists.
    So a really solid genuine reason to hate ai.

    • desu@lemmy.world
      link
      fedilink
      English
      arrow-up
      6
      ·
      4 days ago

      Isn’t CERN now using mistral to help them sort the data out of the noise which is helping discover new particles? The partnership was just announced one month ago so it probably hasn’t resulted in anything yet.

      • Cethin@lemmy.zip
        link
        fedilink
        English
        arrow-up
        3
        ·
        3 days ago

        I don’t like generative AI, but this is something it’s really good for. The whole basis of the systems is statistical predictions. It’s really good at taking in a bunch of data and piecing together things that fit. This is also something humans are not good at.

        AI is a tool. It’s usually used to just replace jobs, and it’s shit. Using it for things like this is actually very good though.

        • xxploit@lemmy.ca
          link
          fedilink
          English
          arrow-up
          4
          ·
          3 days ago

          Yep, I don’t have anything against the machine learning that scientists in places like these do, but let’s be honest it ain’t ai and their models are probably a lot more focused and built by people who, hopefully, know what their actually doing and know how they can verify what’s coming out of them.

          • Cethin@lemmy.zip
            link
            fedilink
            English
            arrow-up
            2
            ·
            3 days ago

            Yeah, ML is the better term, but AI is the term everyone knows, as annoying as that is.

      • matze@discuss.tchncs.de
        link
        fedilink
        English
        arrow-up
        4
        ·
        3 days ago

        This looks like a partnership between CERN’s IT Department and Mistral. The physics work happens elsewhere 🙂

        Having more data is always good for statistics. Processing with dedicated algorithms is then hamstrung by the cost of memory, disks, and GPUs 😑

    • i_love_FFT@jlai.lu
      link
      fedilink
      English
      arrow-up
      2
      ·
      4 days ago

      Yeah, love that! Imagine what might be undetected yet just because we don’t know to look for it!