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

    • dual_sport_dork 🐧🗡️@lemmy.world
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      11 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.

      • AwesomeLowlander@sh.itjust.works
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        11 hours ago

        After 80 years of fruitless struggle by human mathematicians, a major geometry conjecture has at last been solved—via a straightforward query to a chatbot.

        There’s value having tedious work done by AI so it can provide inspiration to real people, which is exactly what happened in this case.

        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.

        Gee, sounds like it’s enabling people! The horror.

        This is categorically failing to set the world on fire,

        Things can be useful in the right context without setting the world on fire.