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Cake day: November 19th, 2023

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  • If I were just a little rich, I would work less, and spend more time traveling.

    If I were rich (but not rich-rich) I would retire, move further away from the city, and make my own saw mill. Also spend more time traveling.

    If I were rich-rich, I would fund Vasalgel, lobby for that project to make mosquitoes extinct, and fund a few low budget films per year, outside of Hollywood. I don’t know where I would move, but I would probably still travel more.





  • Systemd is trying to stop a service. To do an action to a service (or any unit), it runs a job. The job to stop a service is called a stop job. Once the stop job is taken off the job queue, the stop job is running.

    The method of stopping a service is configurable, but the default is to send a kill signal to the MainPID, then wait for the process to exit. If it doesn’t, after a timeout, the kill is reattempted with a harsher signal.




  • I think we’re still headed up the peak of inflated expectations. Quantum computing may be better at a category of problems that do a significant amount of math on a small amount of data. Traditional computing is likely to stay better at anything that requires a large amount of input data, or a large amount of output data, or only uses a small amount of math to transform the inputs to the outputs.

    Anything you do with SQL, spreadsheets, images, music and video, and basically anything involved in rendering is pretty much untouchable. On the other hand, a limited number of use cases (cryptography, cryptocurrencies, maybe even AI/ML) might be much cheaper and fasrer with a quantum computer. There are possible military applications, so countries with big militaries are spending until they know whether that’s a weakness or not. If it turns out they can’t do any of the things that looked possible from the expectation peak, the whole industry will fizzle.

    As for my opinion, comparing QC to early silicon computers is very misleading, because early computers improved by becoming way smaller. QC is far closer to the minimum possible size already, so there won’t be a comparable, “then grow the circuit size by a factor of ten million” step. I think they probably can’t do anything world shaking.











  • I managed a CentOS system where someone accidentally deleted everything from /usr, so no lib64, and no bin. I didn’t have a way to get proper files at the time, so I hooked the drive up to my Arch system, made sure glibc matched, and copied yum and other tools from Arch.

    Booted the system, reinstalled a whole lot of yum packages, and… the thing still worked.

    That’s almost equivalent to a reinstall, though. As a broke college student, I had a laptop with a loose drive, that would fall out very easily. I set it up to load a few crucial things into a ramdisk at boot, so that I could browse the web and take notes even if the drive was disconnected, and it would still load images and things. I could pull the cover off and push the drive back in place to save files, but doing that every time I had class got really tiring, so I wanted it to run a little like a live system.


  • What we have done is invented massive, automatic, no holds barred pattern recognition machines. LLMs use detected patterns in text to respond to questions. Image recognition is pattern recognition, with some of those patterns named things (like “cat”, or “book”). Image generation is a little different, but basically just flips the image recognition on its head, and edits images to look more like the patterns that it was taught to recognize.

    This can all do some cool stuff. There are some very helpful outcomes. It’s also (automatically, ruthlessly, and unknowingly) internalizing biases, preferences, attitudes and behaviors from the billion plus humans on the internet, and perpetuating them in all sorts of ways, some of which we don’t even know to look for.

    This makes its potential applications in medicine rather terrifying. Do thousands of doctors all think women are lying about their symptoms? Well, now your AI does too. Do thousands of doctors suggest more expensive treatments for some groups, and less expensive for others? AI can find that pattern.

    This is also true in law (I know there’s supposed to be no systemic bias in our court systems, but AI can find those patterns, too), engineering (any guesses how human engineers change their safety practices based on the area a bridge or dam will be installed in? AI will find out for us), etc, etc.

    The thing that makes AI bad for some use cases is that it never knows which patterns it is supposed to find, and which ones it isn’t supposed to find. Until we have better tools to tell it not to notice some of these things, and to scrub away a lot of the randomness that’s left behind inside popular models, there’s severe constraints on what it should be doing.