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Joined 3 years ago
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Cake day: July 20th, 2023

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  • The US grows a LOT of corn across most of the nation. HVDC links can transport a lot of power very efficiently over long distances. These systems are in use for this exact purpose in China, Canada, and Sweden where generation is far from the consumption site. It wouldn’t work across continents, but going from the Midwest to California or something wouldn’t be a problem.




  • Yes. Canadian Federal politics are largely dominated by “haves” vs. “have nots”. Alberta has historically been a “have” province with a decent amount of money flowing in from oil and gas industries. They resent having to pay federal taxes to “have nots” like their agricultural neighbors with larger First Nations populations. The narrative goes that Alberta (and western Canada) is paying taxes to Ottawa and Ottawa is “too far east” to understand/care about Alberta.

    It’s all BS, they have equal ability to elect MPs, but because oil and gas is on the way out they throw temper tantrums when they don’t get their way.






  • No one can help tell you that, unfortunately. The hype squad will insist we’re at the inflection point of exponential growth and point to Anthropic using Claude to come up with novel optimizations for training Claude. The haters will insist that a statistical word model will never be useful because it’ll never be accurate, and they’ll never find a way to make inference cheap enough to be viable.

    Turns out if your job is selling 95% correct words (generic business people, mediocre writers, etc), then a word guessing machine that does a 95% good enough job may be sufficient to have value. But if your proposition is in being actually good at something, then you’ll continue to outcompete the machines. It’ll never be able to displace classics, but I can’t imagine a world where it doesn’t displace human-slop erotica, murder mystery, etc. where the quality was less important than volume.

    As to whether it’ll plateau, I’m not sure. It’ll obviously never be anything other than a word guessing machine, but it turns out there’s a lot of interactions with the world that can be described with words. About 3-6 months ago people generally noticed a big change in how well things like Claude code worked, and it had nothing to do with model improvements. Maybe the same model + new secret sauce can yield yet another improvement.

    Anthropic and OpenAI will never recoup their burned CapEx but that doesn’t strictly mean that inference will never be cheap enough to be viable. If the big model shops explode from bad economics, it’ll still leave behind open source models that could be “good enough” that could run on your local machine. Is that going to be sufficiently “good enough” for the 95% correct use cases? I dunno. No one knows.

    So… I dunno. For you, all this means is we’re gonna have a big economic reckoning at some point and if you’re good but not great at your job, your job involves selling words, and your job doesn’t require 100% precision, I’d reckon there’s a chance LLMs stick in your world, to some degree.

    And before I get banned for this take, please note I’m not justifying the massive ecological and economic damage the process has and will do on the way to whatever end it reaches. Reactivating coal plants for power to feed an economic bubble that also itself destroys the environment is almost certainly too high a price to pay to replace human slop with AI slop.


  • I really dislike that framing that a lot of people are pushing, which is (imo) very disingenuous. The framing is that we’re “trading” one big trade partner for another, and I’ve seen it everywhere from lefty Lemmy users to Pierre voters.

    You’re 100% correct that we’re simply adding another trade partner and diversifying our options as we’ve done with many middle powers over the recent months. The goal is that no single trade partner should be 70% of our exports like the US has been historically and it irks me when I see people argue that we’re just changing our the US for China as though we’re only allowed one trade partner at a time.