• yeehaw@lemmy.ca
    link
    fedilink
    arrow-up
    21
    ·
    8 days ago

    “Whether people like AI or not, they are probably already using it. We have a good opportunity here to build something. To us, it’s a success story for the province.”

    What a poor argument. Yes, they probably already are. Maybe not even by choice.

    Go open a browser and Google something. Boom, AI shoved down your throat whether you want it or not.

    Open a support ticket. Boom, AI assistant which spews junk answers until you get a real human.

    We aren’t given a choice sometimes…

    • CanIFishHere@lemmy.ca
      link
      fedilink
      arrow-up
      1
      ·
      7 days ago

      I can guarantee you data centers like this aren’t built for dummies on the internet. They are used to increase professionals productivity, not write emails or wedding speeches.

      • yeehaw@lemmy.ca
        link
        fedilink
        arrow-up
        4
        ·
        7 days ago

        What are you talking about? A datacentre is just a place where ppl host servers. What you do with those servers is anyone’s guess.

      • queermunist she/her@lemmy.ml
        link
        fedilink
        arrow-up
        2
        ·
        edit-2
        7 days ago

        There’s basically no evidence they increase productivity.

        If AI can make your job easier, you probably don’t have a real job.

            • CanIFishHere@lemmy.ca
              link
              fedilink
              arrow-up
              1
              ·
              3 days ago

              The study you cited is basically asking senior executives what they predict the impact of AI will be. Not exactly convincing empirical evidence.

              Try these search terms

              AI impact on Cancer research

              https://www.nature.com/articles/s41698-026-01276-6

              “Artificial intelligence (AI) is quickly becoming a revolutionary and game-changing tool in modern oncology, with promising uses in early diagnosis and drug discovery. Machine learning (ML), deep learning (DL), reinforcement learning (RL), natural language processing (NLP), and generative models are some of the AI methods that are becoming very important for cancer care. With an emphasis on early diagnosis, mutation mapping, and drug design, this article aims to review the existing literature and investigate the role of AI technologies in oncology.”

              AI impact on vaccine development

              • AI accelerates vaccine development by streamlining antigen selection and immunogen design.

              • Machine learning predicts antigenic epitopes and assesses immunogenicity.

              • Generative models and molecular dynamics enhance immunogen stability and coverage.

              There are thousands of other studies.