Twonks | Bluesky

Transcript

TW😶NKS

A comic in four panels:

Panel 1. White text on black

AI Design Logic

Panel 2. A guy sits in a restaurant at a table with a checkered table cloth. A waiter stands near, hands behind back waiting attentively.

Guy: Get me a cheese pizza

Panel 3. The waiter returns with a pizza in hand.

Panel 4. The guy gestures proudly at the pizza. The waiter looks less than amused.

Guy: Wow, look what I made!

  • lime!@feddit.nu
    1·
    3 hours ago

    yeah, it’s a great way to see the limitations of these systems. just like ctf and ioccc.

      • lime!@feddit.nu
        2·
        3 hours ago

        i will always take the time to explain things i find interesting to people. the benefit here is that i can now much more efficiently break large models as well when i come across them. helps me add anti-ai clauses to websites, cv’s, and repos i publish.

          • lime!@feddit.nu
            1·
            1 hour ago

            it’s the curse of getting into something early and it becoming a global issue; i did a course on machine learning in 2014 and have tinkered since then.

            like imagine getting into blockchain-based systems because of git in 2007. can’t talk about that stuff at all now.

            • Nonconfrontational@lemmy.ml
              1·
              48 minutes ago

              Surely you can see the damage it’s doing to human creativity and intelligence, the economy, and the ecosystem as a whole.

              • lime!@feddit.nu
                1·
                6 minutes ago

                oh i am anti as all hell. i have knowledge of how the models tend to work, how the training is done, and how reasoning and tool use is implemented. that’s why i never use online models and check the datasets of local ones.

                but like… the idea isn’t bad. it’s just that the way people use it is to steal information, burn through massive resources, and atrophy their knowledge. just like how the idea of a block chain, or a uniquely identifiable digital token, isn’t intrinsically bad, but the biggest use was grifting.

                a model trained on consensually acquired data, using only renewable energy, run locally, can still achieve useful things like quickly finding information from a loose query, doing bulk edits, making templates and placeholders, or offering suggestions. it’s just that it would take longer and not be hype-worthy. so no for-profit entity does it. that’s what makes projects like the ai horde interesting.