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Joined 3 years ago
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Cake day: June 19th, 2023

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  • Unless the government has some special fund strategy where the money Nintendo paid in tariffs only went to the billionaires or the wars and the money refunded to Nintendo came from only infrastructure and social programs, it was only paid once. The first time, it was paid to the federal government via Nintendo. The second time, Nintendo was paid from the federal government’s money. Either consumers didn’t pay the first time because the federal government’s money is their money, or they didn’t pay the second time because the federal government’s money isn’t their money.

    That doesn’t make it right that Americans keep having to pay tariffs on everything. This is just an inefficient and illegal way to raise taxes.






  • It’s not winnable. The same politicians continuously reintroduce the same bad ideas and governments are increasingly authoritarian and decreasingly care about the opinions of constituents. Companies participating in fascism voluntarily censor and collect unnecessary identifying information to share with governments and advertisers because it benefits the share holders. Investors throw money at business models that depend on creating new markets for rent-seeking, leading to users sending their private data to more and more cloud services. Other companies without malicious intentions are pressured by the flood of bot traffic and content to collect verifiable user identification or use user-hostile services like Cloudflare or Recaptcha.


  • Gamers Nexus already has benchmarks out. My interpretation is that the performance is about what you would expect for a modern console, and the cost is about what you would expected to have gotten this kind of performance a few years ago. It’s not powerful by today’s PC standards, and you could have gotten a more powerful PC for less last year, but because of ongoing global economic collapse it’s competitively priced. If you weren’t fortunate enough to buy a computer shortly before companies started wasting all the manufacturing capacity on “AI” and you want to have a very compact and quiet computer with just okay gaming performance, it might be worth getting.





  • This is the reason why conventional AI can’t make strides in mathematics. The LLM is a statistical model that generates human text. The training data is the output text divorced from the process that generates it in humans. If you feed an LLM lots of mathematical text, it will confidently produce mathematical texts of its own, but the LLM can’t add two numbers together, and it doesn’t know that it can’t add two numbers together. It can be trained to use a calculator, but humans don’t interrupt their writing to say “And now I’m using my calculator to determine the value of 1 + 1” so the LLM is just going to draw upon its training data to predict that "1 + 1 = " is followed by “2” or maybe “3 (for large values of 1).” Maybe someday it will learn that “9 + 10 = 21.”