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Joined 7 months ago
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Cake day: April 24th, 2024

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  • Yeah, you were trying to argue AWS is basically for the NSA and cops. That hilariously false claim is what I’ve been consistently rebutting this entire time. You’re moving the goalposts and continuously have this entire conversation, which is why this is a dull and bad conversation. You didn’t start out arguing that 1% is “substantial.” You made a rather different argument. I never disputed that a contract amounting to 1% of a company’s annual revenues is significant, I disputed that that 1% means AWS is just a cop shop. Because that’s not how anything works.

    You were wrong, and you were making shit up, and you’re moving the goalposts to avoid having to admit being wrong.


  • If you do the numbers out on that, the volume doubles to 1% of gross revenues over that time period. Not really bolstering the point you were trying to make here, but you did catch me merely skimming the article because of how dull and bad this conversation is. This conversation is pointless because at the end of the day, AI is literally just a potentially very useful tool, which is why everybody’s freaking out about it. Being against AI as such just because bad people are also using it is kind of pointless.




  • I don’t like these companies for their cooperation/friendly attitude towards nation-states either, but your comments are insipid. AWS has like 2 million businesses as customers. They have 30% marketshare in the cloud space, of course they provide cloud services to cops and militaries. They’re cheap, and one of the biggest providers, period. I can’t find any numbers showing their state contracts outweigh their business contracts.

    And, sure, plenty of those business contracts are for businesses that don’t do anything useful, but what you don’t seem to understand is that telecoms is vital to industry and literally always has been. It’s not like there’s a bunch of virtuous factories over here producing tons of steel and airplanes, and a bunch of computers stealing money over there. Those factories and airlines you laud are owned by businesses, who use computers and services like AWS to organize and streamline their operations. Computers are a key part of why any industry is as productive as it is today.

    AI, and I don’t so much mean LLM’s and stable diffusion here, even if they are fun and eye-catching algorithms, will also contribute to streamlining operations of those virtuous steel foundries and airlines you approve so heartily of. They’re not counterposed to each other. Researchers are already making use of ML in the sciences to speed up research. That research will be applied in real-world industry. It’s all connected.

    Its not for you to worry about. The decision to rapidly consume cheap energy and potable water is entirely beyond your control. Might as well find a silver lining in the next hurricane.

    By the same token, you shouldn’t worry about it either? So insipid.



  • Yeah, uh huh, efficiency isn’t really a measure of absolute power use, it’s a measure of how much you get done with the power. Nobody calls you efficient if you do nothing and use no power to do that nothing. Google, Amazon, Microsoft, and Meta all together could not get anything done as companies if they all had to split an ENIAC (vastly less powerful than an older model iPhone) between them. This is a completely meaningless comparison.

    Absolute power consumption does matter, but global power consumption is approximately 160,000 TWh, so the doubling means all the largest cloud providers all together are now using less than 0.05% of all the energy used across the world. And a chunk of that extra 36 TWh is going to their daily operations, not just their AI stuff.

    The more context I add in to the picture, the less I’m worried about AI in particular. The overall growth model of our society is the problem, which is going to need to have political/economic solutions. Fixating on a new technology as the culprit is literally just Luddism all over again, and will have exactly as much impact in the long run.