291–300 of 489 posts
This is where we're headed: https://sibylline.dev/articles/2025-10-12-ai-is-too-big-to-f...
AI generated Chinese propaganda. Good skills but wank.
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Well we could still vote out the corrupt and actually invest in US infrastructure but I guess that's crazier than hanging all our hopes on AI serfdom.
This is true, the government is not completely captured yet, 2026 is our last chance, but it has to be decisive, or even crushing.
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The failure rate of GPUs in professional datacenter environments is over estimated by the general public because of the large number of overlocked and undercooled cards used for GPU mining that hit eBay.
What’s the strategy when one does die? It’s just left in place until it’s worth it to pull the entire rack?
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This is true, the government is not completely captured yet, 2026 is our last chance, but it has to be decisive, or even crushing.
Ain't happening in 2026 or 2028. Democrats havent positioned anyone compelling and there positions are too flaky to capture a culture that is captivated by the idea every position is zero-sum.
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I can run quite useful models on my PC. Might not change the world but I got a usable transcript of an old foreign language TV show and then machine translated to English. It is not as good as professional subtitles but i wasn't willing to pay the cost of that option.
I did something similar with Whisper a year or so ago. 9 years ago, when my now wife and I were dating, we took a long cross-country road trip, and for a lot of it, we listened to NPR's Ask Me Another (a comedy trivia game). Anyway, on one random episode, there was a joke in the show that just perfectly fit what we were doing at that exact moment. We laughed and laughed and soon forgot about it. Years later, I wanted…
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yeah im in agreement, ai will eventually do everything a human being can
Perhaps, but why are you so convinced we're so close when we weren't all the other times?
And we've made it past. LLMs of today reason a lot like humans do.
They understand natural language, read subtext, grasp the implications. NLP used to be the dreaded "final boss" of AI research - and now, what remains of it is a pair of smoking boots.
What's more is that LLMs aren't just adept at language. They take their understanding of language and run with it. Commonsense reasoning, coding, math, cocktail recipes - LLMs are way better than they have any right to be at a range of tasks so diverse it makes you head spin.
You can't witness this, grasp what you see, and remain confident that "AGI isn't possible".
> Most of the money is being spent on incredibly expensive GPUs that have a 1-3 year lifespan due to becoming obsolete quickly and wearing out under constant, high-intensity use. How about chips during the dotcom period? What was their lifespan?
That’s irrelevant because the primary assets left after the dotcom bubble was fiber in the ground with a lifetime measure in decades.
One key difference in all of this is that people were not predicting the dotcom bubble, so there was a surplus left after it popped. It was a surprise. This AI bubble already has lots of people with their forks and knifes waiting to capitalize on a myriad of possible surpluses after the burst. There's speculation on top of _the next bubble_ and how it will form, even before this one pops. That is absolutely disgustin…
>people were not predicting the dotcom bubble I don't know if you were there at the time but saying wow what a bubble was much of the conversation back then. I don't know if it was predicting it as saying gosh just look - you can take any company and put ".com" in the name and the stock goes up 5x, it's nuts.
It seems that in the current AI craze, some people stopped saying "it's nuts" and started saying "it will leave something nuts in its place!". As if the bubble had already burst!
Do you understand better now what I am trying to say?
The singularity. I don't think most authors of articles like these understand what the AI build up is about, they think it's another fad tool.