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Joined 3 years ago
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Cake day: August 12th, 2023

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  • Thanks! The whole PC had a time (when its age was ~20 years) where it still booted, but with reset BIOS settings, followed by a time where it doesn’t boot up anymore. So I believe the most likely thing is that it leaked and caused damage. Retro computing community thinks that the most likely cause is battery damage.

    Here is the exact model from someone else: https://theretroweb.com/motherboards/s/msi-3121-v3

    Battery (top-left) already removed, but it shows that this one has leaked before as well. When you look closely, you see battery residue on the nearby 8-bit ISA (?), so it must have leaked a lot at some point and been cleaned up. Unfortunately, it came with a notorious Ni-Cd Battery; even for its time not the best.



  • Challenging, but not impossible. I think the military budget of all other NATO members combined would just be about the same as the US. However, it’s not like every country has its own independent “mix of everything”; they are supposed to work supplemental. What makes things worse is proprietary hardware and software in modern equipment such as planes. I’m not sure to which degree it would even be technically possible to use it to defend against the USA.

    Then there is the nuclear weapon problem. France and UK would have to really stand their ground and follow through with nuclear retaliation. That means that even when the USA or Russia just use a small tactical nuke in Poland, Greenland or wherever, they’d have to use one of their few strategic nukes to destroy something big, possibly dooming Paris. The downside of the idea of mutually assured destruction always was that it only works with somewhat reasonable people who REALLY are not willing to take their entire civilisation with them. But since Stalin, there have never been nutjobs like Trump or Putin in charge, neither in the USSR, nor US, nor Russia.

    A victorious Ukraine would certainly be an incredible asset to have in NATO, with all those battle-hardened, highly educated people.

    But all things considered, might as well give it a try.



  • In order to change the degree so that it allows studying in many universities abroad (such as Germany), this would be needed:

    • functions and graphs, mostly R->R
      • general analysis, continuity, function as a specific type of relation
      • series, sums, limits
      • derivatives
      • integration
        • numerical
        • basic approaches and when to use which
        • a few common “tricks”
    • proofs: very basic direct, induction, contradiction will do
    • set theory
    • Vectors, limited to R³, line, plane, rotation. Very basic matrices
    • introduction to imaginary numbers
    • stochastics & probability

    It’s based on my subjective impression of weaknesses in the few Americans studying in Germany that I know.


  • Ideas?

    • CO2 tax - if it’d be high enough to completely pay for the damage, this shit would stop pretty fast. But even less than that would help. Alternative: Certificates without loopholes. Some use would survive, e. g. an IT professional would still use $ 50 worth of energy per day if it gives a 10 % productivity boost, but models would start consolidating and use all tricks to keep it efficient, rather than push out whatever they can. Only works when imports from regions that refuse to participate are taxed when imported, or outright banned.
    • Huge advantage of machine learning: The “when” is completely flexible. Could just use excess power from renewable peaks, or even nuclear & coal nightly production. But as long as it’s cheap enough to just make more power around the clock: Why should they? They won’t do it voluntarily. Solutions could start with a “green” label for consumers, but that would probably not do that much. It also won’t help when we force them to use 100 % renewables and nuclear, and then they just buy all solar panels and wind turbines off the market leaving us with higher costs and trouble switching to net 0
    • Evaluate the market and identify the bubble. Does an AI focussed company make conservative use of existing capabilities, without overhyping them, or put their money on likely near-future developments, or depend entirely on optimistic future capabilities?
    • With such measures in place, we’d still have the models they trained so far. They’d eventually plateau anyway (or already have). When training of new models stops, as we make it too expensive to spend a lot of power for a tiny improvement, a good part of the power waste stops.