• plyth@feddit.org
    link
    fedilink
    English
    arrow-up
    0
    ·
    3 months ago

    Jumper announced in June that he was leaving DeepMind to join Anthropic.

    Key people were leaving.

    Other former staff members were reassigned to Alphabet’s drug-discovery company Isomorphic Labs, which is a DeepMind spin-off.

    It’s not as bad as the headline makes it sound.

  • notsure@fedia.io
    link
    fedilink
    arrow-up
    0
    ·
    3 months ago

    In 2011 Google surreptitiously edited, “don’t be evil”, from its mission statement. Voila!

      • terabyterex@lemmy.world
        link
        fedilink
        English
        arrow-up
        0
        ·
        3 months ago

        so letting a person own their own company is evil? we just hand it to the government?

        this is about greed not capitalism… which is private ownership. our government is just as greedy

        • 4am@lemmy.zip
          link
          fedilink
          English
          arrow-up
          0
          ·
          3 months ago

          Yes, letting a person own a means of production leads to greed and they, unlike government, are not able to be voted out. They just grow more powerful and stupid drunk on wealth and they do stupid shit that destroys economies and environments and societies and surround themselves with yes men so they never have to hear about the consequences of their actions from anyone “important”.

          Elon musk should not own the space program. Jeff Bezos should not own all retail. Palmer Luckey should be “disrupting” defense.

          You are not a capitalist, you are a worker with Stockholm syndrome. Fuck capitalism, it’s time for it to go. It’s antiquated and unnecessary.

      • notsure@fedia.io
        link
        fedilink
        arrow-up
        0
        ·
        3 months ago

        As Trump would say, “who knew healthcare could be so hard?”, at least french people know how to protest…

  • Catoblepas@lemmy.blahaj.zone
    link
    fedilink
    English
    arrow-up
    0
    ·
    3 months ago

    The cost in preventable deaths, had we been continuing protein research instead of pouring the world’s resources into a fancy autocorrect, is incalculable.

    • Archer@lemmy.world
      link
      fedilink
      English
      arrow-up
      0
      ·
      3 months ago

      Honestly they could’ve pointed AI at this problem to try and rack up at least some positive AI press coverage

        • sexhaver87@sh.itjust.works
          link
          fedilink
          English
          arrow-up
          0
          ·
          3 months ago

          Actual, real, machine-learning artificial-intelligence. Not this sycophantic human mimic shit everybody’s fallen head over heels for. At the very bare-minimum comparison, AlphaFold had an established use-case.

    • AAA@feddit.org
      link
      fedilink
      English
      arrow-up
      0
      ·
      edit-2
      3 months ago

      But you need to understand, preventing deaths doesn’t make Google any money. Please think about the poor corporation!

      • swoopy@lemmy.world
        link
        fedilink
        English
        arrow-up
        0
        ·
        3 months ago

        I think this is a miscalculation on Google’s part because dead people can’t buy their products.

        • Thunderbird4@lemmy.world
          link
          fedilink
          English
          arrow-up
          0
          ·
          3 months ago

          People don’t buy products anymore. They’re too poor to care about. Businesses sell to governments and other businesses now and couldn’t care less what you want or think.

  • WormFood@lemmy.world
    link
    fedilink
    English
    arrow-up
    0
    ·
    3 months ago

    The usefulness of alphafold had been grossly overstated by science media. The structures it generates are mostly nonsense, they typically can’t generate molecular dynamics simulation trajectories with the correct physical properties, which makes them not useful for drug discovery. in computational biology today you’ll most often find them in use as a starting point for structure refinement or as one of many sources of data for some integrative method. Again, not useless, and an improvement over previous structure prediction algorithms, but they didn’t ‘solve protein folding’ or anything, like Google might have you believe. I don’t put much stock in Nobel prizes, I mean, they gave one to Henry Kissinger.

    Google also released alphafold 3 under a strict non commercial license, which severely limited its usefulness for both commercial and academic work, the latter of which all but requires using more permissive licenses. I assume Google wanted to monetize a commercial version of it at some point.

    I’ve been using Openfold 3 in some work I’ve been doing recently, and while the software is a bit undercooked, it does produce structures similar to alphafold 3 without any of Google’s bullshit. So I wouldn’t worry too much about this announcement. The protein folding will continue with or without them

    • Buddahriffic@lemmy.world
      link
      fedilink
      English
      arrow-up
      0
      ·
      3 months ago

      Though it does suck that attention is being diverted to LLM development because it’s so good at giving the illusion of being smart while still getting so much wrong.

  • Techno-rat@lemmy.blahaj.zone
    link
    fedilink
    English
    arrow-up
    0
    ·
    3 months ago

    they seriously out here shutting down the one universally accepted good this shitshow has brought us?

    ffs man

    really making it hard for the common person to not fucking hate their guts, between shit like this, data center pollution and the growing mental health crisis of people with cyberpsychosis getting talked into suicide by the llm

    edit: shit i got jebaited by the title i think… the project is still available as is but the scientists have been moved to other projects yes?

  • nandeEbisu@lemmy.world
    link
    fedilink
    English
    arrow-up
    0
    ·
    3 months ago

    Sounds like they just moved the research over to isomorphic labs, also even from the onset people quickly took the original approach and paper and made their own versions tuned for their needs.

    Feels more like a research project having achieved its goals, the key players moved on, and they’re closing the Deepmind part of it as it’s not really useful anymore.