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Joined 3 years ago
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Cake day: June 22nd, 2023

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  • That doesn’t actually sound like they intend on producing usable helium though. That sounds like they intend on doing a really difficult and expensive fusion reaction to produce helium 3, which they will then use in a cheaper and easier to do fusion reaction, and the end result of all of that should be electricity and no net new helium since it’s expensive and rare AF and they need it all to make the whole process remotely plausibly profitable.




  • Do I really miss it? It never once came up in any practical situation.

    You would buy a mobo and a CPU and put them together and not think about the specific buses or controllers you have available, unless you had a very specific reason to.

    Unless we’re talking about a mobile power constrained device, I certainly would rather have expandable RAM and graphics cards then everything slammed in a single unchanging chip.

    And again, the fact that the author states that Nvidia can’t release an integrated SoC because they didn’t buy ARM, when they actively sell an integrated SoC licensed from ARM, makes the entire rest of their “opinion”, untrustworthy.


  • This is a bad article. It’s just an Apple fanboy watching their company continue its trend of shitting on customers and assuming that everyone inevitably will, apparently never once reflecting on whether their insistence of sticking with Apple is the real problem.

    Their argument boils down to CPUs increasingly integrating basic versions of other components over time meaning that desktops will disappear… Ignoring that the desktop market has stayed surprisingly flat that entire time and has certainly not disappeared.

    If your argument is that integrated CPUs will outclass discrete components connected with high speed buses then you need to make it from an engineering standpoint, not a headline one.

    I also don’t understand his reasoning that because NVidia don’t buy ARM they don’t get to make an integrated CPU… Nvidia made and sold an integrated ARM CPU before ever being rumoured to buy them, and they still make and sell it to this day … because ARM’s entire business model is based on companies like Nvidia licensing their designs.




  • If you’re talking the US government, then no, they don’t need political capital from the people, they just need capital capital and they can use that to swing elections and bribe politicians.

    Regardless, some AI companies will inevitably survive. It is legitimately useful in solving a ton of problems that were near impossible before. Literally this xkcd. Now it’s not “I’ll need a research team and five years”, it’s “sure, easy API hit, we’ll just have to manage cost / use”, in the future, it will be “sure, we’ll just add a background task client side”.











  • Except there is no language. It’s just the appearance of one. You could replicate the language with a large enough dictionary and a set of instructions that some person follows.

    You’re saying that because it can learn any arbitrary language, it’s incapable of learning languages?

    I don’t get how anyone who isn’t an AI CEO rushes to dehumanize real living people in service of an unthinking, unfeeling machine.

    It’s not dehumanizing, it’s realistically facing the threat head on.

    AI doesn’t have to be fully human to take all knowledge jobs, it just has to be more intelligent then the average person in their domain. And it doesn’t have to be flawlessly more intelligent if it’s faster than them. Quantum computers have inherent randomness in their outputs, but they are still useful because they are so much faster at solving certain kinds of problems that you can run them 100x and discard the outlying results (a process known as error correction). AI agents that can duplicate themselves as many times as they want fall into the same category.