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  • The most idiotic to me are the ones who protest voted for Trump over Palestine. Like you don't think Harris supports Palestine enough so you go an vote for the person who would happily see it turned to rubble so long as the person doing it praises him.

    Genius.

  • To state this as simply as possible: I wouldn’t have a job if our customers weren’t seeing tremendous benefit from AI technology.

    Right because corporate management doesn't ever blindly and stupidly overinvest in fads that blow up in their faces...

    I work with typically are very sensitive to CapX and OpX costs of AI—they self-serve in private clouds. If it doesn’t help them make money (revenue growth) or save money (efficiency), then it’s gone—and so am I.

    You clearly have no clue what you're on about. As someone with a degrees and experience in both CS and Finance all I have to say is that's not at all how these things work. Plenty of companies lose money on these things in the hopes that their FP&A projection fever dreams will come true. And they're wrong much more often than you seem to think. FP&A is more art than science and you can get financial models to support any argument you want to make to convince management to keep investing in what you think they should. And plenty of CEOs and boards are stupid enough to buy it. A lot of the AI hype has been bought and sold that way in the hopes that it would be worthwhile eventually or that other alternatives can't be just as good or better.

    I’ve seen it happen; entire engineering teams laid off because a technology just couldn’t be implemented in a cost-effective way.

    This is usually what happens once they finally realize spending money on hype doesn't pay off and go back to more established business analytics, operations research, and conventional software which never makes mistakes if it's programmed correctly.

    LLMs are a small subset of AI and Accelerated-Compute workflows in general.

    No one ever said otherwise. And we're talking about AI only, no moving the goalposts to accelerated computing, which is a mechanism through which to implement a wide range of solutions and not a specific one in and of itself.

  • ChatGPT is basically the best LLM of its kind. As for Nvidia I'm not talking about hardware I'm talking about all of the models it's trained to do everything from DLSS and ACE to creating virtual characters that can converse and respond naturally to a human being.