Transcript

Title text: This is how you all fucking sound

[A smug tech bro wearing a sideways cap, watch, chain around his neck stands in front of a data center by a lake with dead fish. A smoke stack blows pollution into the air]

Tech bro: AI is already here, there’s no going back.

[A smug man in a suit with cigarette in hand stands in a restaurant while two disgruntled diners cough from the smoke]

Suit: Smoking indoors is already here, there’s no going back.

[A smug man in a top hat and suit stands in a factory with two sad and dirty children]

Hat: Child labor is already here, there’s no going back.

[A smug plantation owner stands in front of a field with with two angry slaves]

Plantation owner: The Atlantic Slave trade is already here, there’s no going back.

Still Vreni on Bluesky

  • pixxelkick@lemmy.world
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    11 hours ago

    Thats not how it works.

    A better example would be “nuclear arms are already here, theres no going back”

    Its not a capitalism thing, its an arms race thing.

    Once one country starts making nukes you cant stop everyone from following suit to protect themselves.

    Same goes for AI, once one country starts doing it, everyone else is gonna need to keep up so they dont lose the arms race.

    • ninjabard@lemmy.world
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      8 hours ago

      The AI “arms race” as you put it is absolutely capitalism at its core. Replace humans with shitty robots so they don’t have to continue paying wages to actual humans. Its just the the first person that makes it work will be able to set the rules for the ones that follow. Getting paid for those rules and making further entrenched in capitalism.

      • Kaligalis@lemmy.world
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        7 hours ago

        The thing, western governments fear is AI-powered terminators. They want the tech first, so they can win the war when someone attacks them. That is the arms race part.

        The unemployment explosion is obviously also happening. But that’s actually a pretty good thing in the long run as a society with 90% unemployment and the need to work to live is absolutely unsustainable. AI will basically force the end of capitalism by increasing the system’s volatility until it adapts.

        • JcbAzPx@lemmy.world
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          6 hours ago

          LLMs will never be able to be terminators. This is just an expensive exercise in futility.

    • Bleys@lemmy.world
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      9 hours ago

      Except 90% of what people talk about when they refer to AI is LLMs which have no direct military applications other than vague productivity boost claims. You could say the same thing about sending kids to the mines, “our society is more productive sending kids to dig out coal instead of playing. If we don’t send our kids to the mines China will and then we’ll really be behind”.

      • pixxelkick@lemmy.world
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        6 hours ago

        … no I am talking about actual AI as a field as a whole, not just LLMs…

        Yall forgetting about Boston dynamics or something?

        We got fuckin guns strapped to the back of autonomous robot dogs that can run at over 60 km/h

        We got autonomous drones with facial recognition that can fly through dense forests at 90 km/h+

        The fuck you think Im talking about lol…

    • UnderpantsWeevil@lemmy.world
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      10 hours ago

      Once one country starts making nukes you cant stop everyone from following suit to protect themselves.

      Except we did stop. We ended nuclear testing. We downsized our arsenal. We never deployed the high yield, neutron bombs, or other “tactical” variants in subsequent wars. And neither did the French or the Russians or the Chinese. Or even the Israelis.

      Our nuclear program is derelict. It belongs in a museum. There’s an outstanding question as to how many of the bombs currently in circulation are duds.

      Unlike with the F-35 or the Bradley Fighting Vehicle or the Predator Drone or even the Virginia class submarine, we’re just not putting any more money into nuclear proliferation and improved first strike capabilities like we were 60 years ago.

      • schipelblorp@sh.itjust.works
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        7 hours ago

        Mutually Asssured Destruction is an easily technolngically achievable goal, that’s why we don’t see much development past that point. You only need to exterminate an enemy’s population once.

        The lesson learned by the world, at this point, is that nukes are the only way to guarantee your country isn’t invaded and that agreeing to unilateral nuclear disamament is downright idiotic. Expect more countries gettng nukes this century.

    • dual_sport_dork 🐧🗡️@lemmy.world
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      10 hours ago

      Yes, but at least at the end of the day you can use nukes to blow stuff up. Presumably your enemies.

      If your enemies win the generative AI “arms” race they can use it to, uh…

      ???

      (Yes, I am aware there are military/governmental applications for neural net learning technologies but they’re the types of pattern recognition and signals analysis stuff we already do without needing to build a football stadium sized datacenter every 50 miles and burn the entire nation’s GDP on electricity generation. Most of the other applications appear to revolve around a regime using it solely to shoot themselves in the foot, e.g. powering a fantasy army of likely to be highly defective murder robots or using it to propagandize at and spy upon their own population in order to ensure a ready supply of destabilizing internal dissent always exists.)

      • 9point6@lemmy.world
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        9 hours ago

        Making a better LLM isn’t the point of all this, it’s taking what they have and building on it until they create a true AGI.

        Whoever gets there first, makes basically everything else obsolete in an instant.

        In a world where the organisations that are blazing the trail are in private hands, this is very bad news for everyone who isn’t in the winning organisation.

        That’s essentially the arms race: who gets to be king of the world.

        The slim chance of it not being monumentally detrimental to humanity is basically tied to us abandoning capitalism wholesale and uniting the world, so I’m not holding my breath.

        • dual_sport_dork 🐧🗡️@lemmy.world
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          9 hours ago

          But LLMs are not the path to the final state of AI, either. And that’s assuming only if — and this is a very big “if” — a true general artificial intelligence can even be created using traditional silicon computing methods in the first place. Blithely assuming that it can be is really rather asking past the sale.

          • Dagnet@lemmy.world
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            9 hours ago

            Yep, by design LLM cannot become ‘inteligent’, you can only make it more believable but it’s still copying humans not really thinking by itself. No amount of development or money invested will change that, it’s not a pokemon it won’t just evolve into something different one day.

            • dual_sport_dork 🐧🗡️@lemmy.world
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              9 hours ago

              And it’s worth reiterating, the current crop of generative “AI” is incapable of producing anything new or novel. All it can do is reassemble existing strings, tokens, and patterns in slightly different ways. Innovation can never come from such a machine. That will have to come from a human.

              The current push is the notion that “hyperscaling,” i.e. throwing even more hardware and space and power and money at the same concept, will magically make it something it isn’t. Obviously that’s not going to work. It’ll allow grifters to make a ton of money over it, though!

                • dual_sport_dork 🐧🗡️@lemmy.world
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                  2 hours ago

                  From TFA:

                  The AI did not prove that its approach is the best anyone can do, though. In fact, mathematician Will Sawin has already improved upon the AI’s grid.

                  OpenAI privately contacted Litt, Sawin, Gowers and a number of other mathematicians to verify the LLM’s proof. Together (and without the company’s direct involvement), they wrote up their individual takeaways. (No external experts have seen the AI’s original output, however—just an edited version of its train of thought.)

                  What stood out, they said, was the AI’s preternatural patience and focus.

                  “AIs have an edge: It’s not just that they can try all known methods,” says Jacob Tsimerman, a mathematician at the University of Toronto, who was not involved in the work but was part of the companion paper solicited by OpenAI. “They can play for longer and in more treacherous waters than mathematicians without getting overwhelmed.”

                  The mathematical tools the AI used here are not novel, although their application in this domain appears to be. “The model did not invent something fundamentally new that nobody saw coming,” says Sébastien Bubeck, a mathematician leading OpenAI’s mathematical explorations. “It just executed like an amazing mathematician.”

                  So, it’s a monkeys-on-typewriters situation with the computer able to try and reject the hammering of who knows how many square pegs into round holes until it finally arrives at a workable conclusion, which a human has already bested. And we’re not allowed to see its homework.

                  This is categorically failing to set the world on fire, except possibly in the literal sense.