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Cake day: 2024年3月20日

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  • Large, non-nuclear EMPs mostly use explosives. Covering a large battlefield means you’re essentially bringing a massive, single-use explosive charge to the battlefield, staying uncomfortably close enough to benefit from it, and trying to set it off at exactly the right time, because they’re not reloadable. And your enemy is probably thrilled you’re doing this, because it saves them from hauling their own explosives there. (On that note, why are you sitting on this thing instead of dropping it on the enemy?)

    This is in addition to whatever shielding you brought, which is likely bulky and conspicuous. And you’re probably not doing combined arms, because shielding infantry and light vehicles from massive explosions is, it is fair to say, something of an unsolved problem.

    But wait, you might be thinking. I know there are non-explosive ways to generate EMPs. Yes, there are, but you need a power source for those, and if you have a really good, portable one of those and a consistent supply of fuel to run it, you probably have better uses for it, like powering a modest laser. Oh, also, you’re 100% sure your shielding works perfectly, right? You’ll find out quick if you don’t.





  • Ah, right, I guess that’s why other vending machines never caught on. Why spend $2 on a Snickers at work when a quick trip to the grocery store can get you candy for way less?

    What you’re overlooking this time is vending machines sell convenience, not just single-serving portions. The fact that very few customers really need ammo without leaving the store/mall is indeed why this is a questionable business model and not just a sketchy one.

    I’m puzzled, though, by the belief that hunters are more likely to make overpriced, impulse purchases of ammo than mass shooters. I’m even less inclined to buy that than ammo from a vending machine.





  • Oh, hey, I’ve run into this in the wild–the Kalendar AI people keep ineptly trying to start a conversation to sell some kind of kiosk software by referencing factoids they scraped from our latest press release. They’ve clearly spent more effort on evading spam filters and rotating domains than they have on anything else, but they helpfully use “human” names ending in “Kai,” so creating a wildcard filter wasn’t too hard.

    Credit where it’s due: I’d never heard of Kalendar or the software company who hired them, but this experience has told me everything I need to know about both of them. If you don’t sweat the details and rate sentiment change using absolute value, that’s kind of impressive.


  • Addressing the “in hell” response that made headlines at Sundance, Rohrer said the statement came after 85 back-and-forth exchanges in which Angel and the AI discussed long hours working in the “treatment center,” working with “mostly addicts.”

    We know 85 is the upper bound, but I wonder what Rohrer would consider the minimum number of “exchanges” acceptable for telling someone their loved one is in hell? Like, is 20 in “Hey, not cool” territory, but it’s all good once you get to 50? 40?

    Rohrer says that when Angel asked if Cameroun was working or haunting the treatment center in heaven, the AI responded, “Nope, in hell.”

    “They had already fully established that he wasn’t in heaven,” Rohrer said.

    Always a good sign when your best defense of the horrible thing your chatbot says is that it’s in context.