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Cake day: November 13th, 2023

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  • To add to this: escalating to violence can indeed end with armed conflict. But that concept has a radically different meaning here than anywhere else.

    The USA is also the home of the biggest, most well-armed, most battle-trained, most nuclear-asymmetric-warfare equipped military, with large numbers of retired veterans all over the place. Then there’s all the federal agencies that also have guns, armored cars, bodyarmor, riot gear, prisons, etc. And lastly, the police that have been buying/gifted military surplus equipment since about 9/11. Oh, and a bunch of those retired vets are also cops and federal agents. Meanwhile, normal people have hunting rifles and home defense weapons, if they have any at all. Plus, our houses are increasingly made of plastic, wood, glass, and paper; not exactly great cover if things get real ugly.

    This isn’t Japan, where the cops would have to figure out how/where to get guns, and the military is mostly a civil defense force. This scenario is much more like if Russia’s military turned on its own people to crush mass dissent, instead of picking on their neighbors. Escalation brought to the scale of civil war that, say, Myanmar recently faced could easily be a one-sided bloodbath.




  • (X) Doubt

    As a Sr. Engineer, I completely get that my situation may be wildly different from what’s cited in the article.

    Right now, I’m using AI “in the loop” rather than “as the loop”. That’s a big difference. And I’m getting my ass kicked routinely on review for dumb-ass things that I’m letting slide from AI generated output. And rightly so. Plus, models routinely lead me down sub-optimal blind alleys while dreaming up really stupid ways to fix problems. The level of (re)prompting I have to provide to suggest to get decent quality results converges on a post-grad that has encyclopedic knowledge of software engineering as it exists online, but with zero real-world experience. It’s both impressive and dangerous as a replacement for software engineering.

    In the mode I describe above, I’m not losing the ability to do anything. I can see how one could surrender some coding chops or familiarity with a whole language or stack, in favor of automation. But all you have to do is not do that.

    I will say that as a rapid-prototyping technology, It’s nothing short of miraculous. I’ve watched junior engineers knock together medium-weight applications, complete with browser UI/UX and decent workflow, in less than a week. This is great for showing value or putting something semi-functional in front of management and/or customers. But pivoting those prototypes into something maintainable is an utter nightmare. Depending on how beholden to AI and forever prompt-looping with “skills” and MCPs you want to be, I suppose it’s possible to just keep mashing the AI button. But at some point, you’re going to need to get inside there to fix security problems or bugs that elude this workflow. What then?














  • they have a 180 day period to define the regulation and a year for it to be contacted and implemented.

    This has a familiar smell. The 3d printer “gun printing prevention” bill(s) that are floating around have the same “we’ll figure out the actual law after the bill is approved.” And here I thought that punting congressional authority to executive agencies was bad. Now they’re not writing laws, but instead, blank checks for vague things within even more vague legal outlines.

    In a more general sense, it also resembles the work being done to level this requirement at online services as well.

    Ultimately, the only way to really enforce any sort of age verification system is to force all content providers to have an age verification step.

    My biggest fear here is that this will have teeth, and will be crafted so that the only feasible way to make it work is to be 100% cloud connected behind federally approved vendors (e.g. Apple and Microsoft).