• @mycodesucks@lemmy.world
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      4 months ago

      Go ahead and design a better pickaxe than them, we’ll wait…

      Same argument:

      “He didn’t earn his wealth. He just won the lottery.”

      “If it’s so easy, YOU go ahead and win the lottery then.”

      • @masterspace@lemmy.ca
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        4 months ago

        My fucking god.

        “Buying a lottery ticket, and designing the best GPUs, totally the same thing, amiriteguys?”

        • @mycodesucks@lemmy.world
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          4 months ago

          In the sense that it’s a matter of being in the right place at the right time, yes. Exactly the same thing. Opportunities aren’t equal - they disproportionately effect those who happen to be positioned to take advantage of them. If I’m giving away a free car right now to whoever comes by, and you’re not nearby, you’re shit out of luck. If AI didn’t HAPPEN to use massively multi-threaded computing, Nvidia would still be artificial scarcity-ing themselves to price gouging CoD players. The fact you don’t see it for whatever reason doesn’t make it wrong. NOBODY at Nvidia was there 5 years ago saying “Man, when this new technology hits we’re going to be rolling in it.” They stumbled into it by luck. They don’t get credit for forseeing some future use case. They got lucky. That luck got them first mover advantage. Intel had that too. Look how well it’s doing for them. Nvidia’s position over AMD in this space can be due to any number of factors… production capacity, driver flexibility, faster functioning on a particular vector operation, power efficiency… hell, even the relationship between the CEO of THEIR company and OpenAI. Maybe they just had their salespeople call first. Their market dominance likely has absolutely NOTHING to do with their GPU’s having better graphics performance, and to the extent they are, it’s by chance - they did NOT predict generative AI, and their graphics cards just HAPPEN to be better situated for SOME reason.

          • @masterspace@lemmy.ca
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            -14 months ago

            they did NOT predict generative AI, and their graphics cards just HAPPEN to be better situated for SOME reason.

            This is the part that’s flawed. They have actively targeted neural network applications with hardware and driver support since 2012.

            Yes, they got lucky in that generative AI turned out to be massively popular, and required massively parallel computing capabilities, but luck is one part opportunity and one part preparedness. The reason they were able to capitalize is because they had the best graphics cards on the market and then specifically targeted AI applications.