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Joined 1 year ago
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Cake day: July 5th, 2023

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  • SBF’s peak was a few years ago. This year all he’s done is show during his trial how deluded these techbros/EAs can actually be. At least SBF had the common courtesy to remove himself from public life within 5 years. Style points for the life-in-prison ending, while simultaneously killing mainstream crypto.

    We’re stuck with Altman for the foreseeable future, and now with a recently purged OpenAI board that will let him continue the industry-wide commercialization of copyright infringement (but only of the laypersons’ IP. Better not ask it to draw Mickey Mouse, though).

    It’s also really unclear where OpenAI lies on the EA/Longtermist/E Acc pipeline. Altman is likely letting whackos have some pretty serious power.



  • It bugs me how easily people (a) trust the accuracy of the output of ChatGPT, (b) feel like it’s somehow safe to use output in commercial applications or to place output under their own license, as if the open issues of copyright aren’t a ten-ton liability hanging over their head, and © feed sensitive data into ChatGPT, as if OpenAI isn’t going to log that interaction and train future models on it.

    I have played around a bit, but I simply am not carefree/careless or am too uptight (pick your interpretation) to use it for anything serious.




  • Sticking two E2EE tunnels together with a plaintext middleman doesn’t result in a single E2EE tunnel.

    The reason the distinction is important is because the security profile is vastly different—a compromised server leads to a compromised message—which isn’t true for actual E2EE services like a pure Matrix link.

    Side note: the first thing you should ask of a “end-to-end encrypted” product to you is “which ‘ends’ do you mean?” I’ve seen TLS advertised as E2EE before.



  • Isn’t the competitive price match policy a symptom of their monopolistic domination?

    Amazon uses its vertically integrated distribution to provide faster shipping. But their marketplace has a higher cut (5% iirc Edit: 15% average). The price match prevents sellers from adjusting Amazon listings to compensate for those fees, forcing the decision to (a) sell at lower margin on Amazon, (b) don’t sell on Amazon, or ©, raise the price across all marketplaces to maintain margin.

    Rather than holding Amazon prices down, it pulls prices on other marketplaces up. It’s an abuse of the inertia of a large customer base to prevent competition by other marketplaces on the basis of a different blend of cost and delivery service.












  • Amdahl’s isn’t the only scaling law in the books.

    Gustafson’s scaling law looks at how the hypothetical maximum work a computer could perform scales with parallelism—idea being for certain tasks like simulations (or, to your point, even consumer devices to some extent) which can scale to fully utilize, this is a real improvement.

    Amdahl’s takes a fixed program, considers what portion is parallelizable, and tells you the speed up from additional parallelism in your hardware.

    One tells you how much a processor might do, the only tells you how fast a program might run. Neither is wrong, but both are incomplete picture of the colloquial “performance” of a modern device.

    Amdahl’s is the one you find emphasized by a Comp Arch 101 course, because it corrects the intuitive error of assuming you can double the cores and get half the runtime. I only encountered Gustafson’s law in a high performance architecture course, and it really only holds for certain types of workloads.