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Joined 2 years ago
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Cake day: July 22nd, 2023

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  • The thing is, I think if he would just wear that saucy Hugh Hefner meets Scrooge look he wore recently, and owned sucking horse dick. I think the nation would get over it.

    Even if he owned sucking off Bill Clinton, we’d mostly go, “I mean, yeah, he’s a real charmer, who among us can say we wouldn’t?” At this point, I think being a pedo creep to kids with Epstein is the only sex scandal that could actually damage him. So few of his sex scandals have really stuck (aside from some real financial penalties in the E. Jean Carroll case).



  • Depending on how much you have set aside it can work, if you don’t have anything set aside and break a leg in a freak accident you can get stuck making massive payments on $20,000+ of medical debt and set yourself back several years. I’m sure it’s gotten more expensive now too, that was 6 years ago, and while I don’t have the debt any more, I also have complications from the surgery that still bother me that I feel like I can’t afford to get fixed.

    That said, a high deductible plan can also leave you screwed, and doesn’t save you as much money as they act like it does. The pricing is different for insured vs uninsured patients, and your insurance company has basically negotiated the rates higher so you think they’re more useful than they actually are.


  • Started moving to Element/Matrix this weekend when I attended a protest and wanted to have some kind of communication, but also wanted to leave my primary phone at home. I was using a de-googled android fork and an e-sim, but being a data-only e-sim, I couldn’t use Signal due to the phone number requirement.

    Annoying to have try to get contacts to get another app, but at least it’s decentralized and comes with the option of being self-hosted once I’m ready to tackle that.


  • Mine aren’t quite that long, but are similar. And I’m a guy. I get really severe ingrown toenails if I keep mine trimmed too short, but don’t have any issues as long as I keep them grown out past the skin. Yes, they’re annoying, and took getting used to. I can still wear closed-toed shoes (occasionally I buy a size larger if the shape of the shoe feels tight on my nails). It all still beats the pain and occasional bloody socks from my nails cutting into my toes as they grow.







  • Oh I have read and heard about all those things, none of them (to my knowledge) are being done by OpenAI, xAI, Google, Anthropic, or any of the large companies fueling the current AI bubble, which is why I call it a bubble. The things you mentioned are where AI has potential, and I think that continuing to throw billions at marginally better LLMs and generative models at this point is hurting the real innovators. And sure, maybe some of those who are innovating end up getting bought by the larger companies, but that’s not as good for their start-ups or for humanity at large.



  • I’m using “good” in almost a moral sense. The quality of output from LLMs and generative AI is already about as good as it can get from a technical standpoint, continuing to throw money and data at it will only result in minimal improvement.

    What I mean by “good AI” is the potential of new types of AI models to be trained for things like diagnosing cancer, and and other predictive tasks that we haven’t thought of yet that actually have the potential to help humanity (and not just put artists and authors out of their jobs).

    The work of training new, useful AI models is going to be done by scientists and researchers, probably on a limited budgets because there won’t be a clear profit motive, and they won’t be able to afford thousands of $20,000 GPUs like are being thrown at LLMs and generative AI today. But as the current AI race crashes and burns, the used hardware of today will be more affordable and hopefully actually get used for useful AI projects.


  • MrMcGasion@lemmy.worldtoLemmy Shitpost@lemmy.worldLemmy be like
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    4 months ago

    I firmly believe we won’t get most of the interesting, “good” AI until after this current AI bubble bursts and goes down in flames. Once AI hardware is cheap interesting people will use it to make cool things. But right now, the big players in the space are drowning out anyone who might do real AI work that has potential, by throwing more and more hardware and money at LLMs and generative AI models because they don’t understand the technology and see it as a way to get rich and powerful quickly.