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Joined 2 years ago
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Cake day: June 4th, 2023

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  • Because it all connects together, and you can program them jointly to help solve tasks.

    Having email and version control inside emacs makes it easy to set up an email based patch system.

    Of course this system will then benefit from the existing code highlighting, introspection, and an integrated debugger.

    Integrating it with your time planner means you can automatically add commits to your journal as a way of tracking what you’ve been working on.

    The old joke always was emacs is a great operating system, it just needs a good text editor.

    The real downside for me is everything is just a little bit janky. It all almost works perfectly and the code is right there to fix it, if you can be bothered. Generally I can’t.


  • It’s about generative AI as it is currently used.

    But yeah, the complaints everyone has about Gen AI are mostly driven by speculative venture capital. The only advantage Google and openai can maintain over open source models is a willingness to spend more per token than a hobbyist. So they’re pumping cash in to subsidize their LLMs and it carries with it a stupidly high environmental cost.

    There’s no possible end game here. Unlike the normal tech monopolies, you can’t put hobbiest models out of business, by subsidizing your own products. But the market is irrational and expects a general AI, and is encouraging this behavior.





  • Both. It’s satire.

    The “benefit” of world hunger is that it keeps people locked in their place and entrenches the status quo. This is actually true, and the author believes it, but he doesn’t like it.

    Many people benefit from world hunger though, and every time you hear that poverty is a hard problem to solve you should ask yourself, how much of that is actual problems and how much is the status quo resisting change?






  • As someone working and publishing in the field this is more a cyber jerk about American exceptionalism than actually true.

    Chinese universities and companies publish a shit tonne at pure machine learning conferences. They absolutely do a large amount of research into the fundamentals of machine learning as well as the applied stuff. They’re probably the closest to the US in terms of having large firms that are prepared to bank roll the training of the very large language models.

    Alibaba in particular has been constantly doing cutting edge stuff in terms of multimodal language models that are worth paying attention to.

    The actual truth is that China does both kinds of work. Broad foundational and applied work lead by independent research groups in companies and universities, and focused application driven stuff for direct application by the state.

    Google still stands out in terms of the amount of research it does, but this is because Google is different to everyone -other US research institutes don’t compare to it either.








  • Nah, you’re forgetting how fucked the US is.

    Citizen’s United mean it’s absolutely fine for billionaires to spend as much money as they like supporting geriatric fascists, providing they don’t ask the fascists how they’d like the money spent.

    Providing Elon keeps going off half-cocked and making decisions on his own and isn’t following instructions from the trump campaign this is all perfectly legal.

    And even if he is acting on orders, how could you ever prove it?