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Cake day: March 22nd, 2024

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  • Another thing is people focusing on the “AI vs anti-AI” argument and overlooking the “open source vs close corporate AI” war going on.

    There’s a very narrow window to solidify “personal” AI before the giants capture the market and snuff everything else out. Its future is either useful tools you run on your phone/PC (or maybe in P2P swarms or among highly competitive API hosts), or it’s what you described: shitty, unethical, corporate UIs that ruin everything.

    Lemmy vs Reddit (and simply being ‘anti-Reddit’ obscuring that) is an apt analogy.

    It’s why, to be blunt, the broad liberal “anti AI” stance really annoys me. It feels like everyone shooting themselves in the foot.



  • I mean, I was a massive AI enthusiast before the hype, playing with GPT-J, GAN models and such.

    …And AI is definitely a bubble that’s going to die. It’s completely ridiculous.

    It doesn’t mean it will go away, but tech bros have hyped it way beyond what it actually is: a set of extremely useful tools.

    You are kinda right, Lemmy (and the left wing) is pretty extreme on the machine learning hate, but “AI” is like 95% fud right now.









  • A problem is volunteers and critical mass.

    Open source “hacks” need a big pool of people who want something to seed a few brilliant souls to develop it in their free time. It has to be at least proportional to the problem.

    This kinda makes sense for robot vacuums: a lot of people have them, and the cloud service is annoying, simpler, and not life critical.

    Teslas are a whole different deal. They are very expensive, and fewer people own them. Replicating even part of the cloud API calls is a completely different scope. The pool of Tesla owners willing to dedicate their time to that is just… smaller.

    Also, I think buying a Tesla, for many, was a vote of implicit trust in the company and its software. It’s harder for someone cynical of its cloud dependence to end up with an entire luxury automobile.