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Joined 3 years ago
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Cake day: July 17th, 2023

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  • Did you even read the article? She was treated horrifically. Arrested at gunpoint in front of the children she was babysitting. Held in jail for 6 months and then taken to North Dakota 1200 miles from her home before someone even bothered to look into her alibi. She was left on the side of the street outside the jail IN NORTH DAKOTA 1200 MILES FROM WHERE SHE LIVED WITH NO MONEY OR COAT IN THE MIDDLE OF THE WINTER.

    She lost her home and her pet. Without the home she can’t babysit, so no livelihood. Unless there’s someone to house her and get her back on her feet, the state just took someone living a normal life and made them broke and homeless. If your primary concern is insurance rates, fuck you. Fuck you because none of this has a chance of increasing ANYONES insurance because insurance is not paying her lawsuit.




  • Hot shower triggers cooling mechanisms in your body, you’ll start to sweat and your body will start moving warmer blood out to the extremities, making you feel cooler as the heat radiates/convects off. When you step out of the warm enclosure into the cooler air, your body is still trying to dump heat so you’ll feel colder.

    Basically the opposite happens with a cold shower. Warm blood is kept toward your organs to keep them functioning, so your extremities are chilled by the water. On top, the shower enclosure will be colder than the rest of the room, so you move from a cold area to a warm area, so that instant temperature change makes you feel warmer.



  • It’s amusing how each generation seems to independently come across the “empty chip bag” meme and the actual explanation - the bag is intentionally oversized and slightly inflated to give the chips a buffer against being crushed. I remember seeing it come up about once a decade, including pre-(consumer)internet.



  • An LLM can only be derivative. It can come up with “unique” patterns, but only based off it’s training data. For something like your use case, it would have very little data to work on given that you claim the documentation is poor. Your best case would be to use a high reasoning model and feed the documentation into it’s context before asking anything - but it will only give you answers based on that input. If the documentation is wrong or outdated, you’ll get answers based on wrong and outdated data.

    As far as “who could get left behind?”, I feel that is more people who’s job can be impacted by LLMs - programming is a big one, and the reason is largely in my first paragraph. The amount of “training data” on the internet for coding is absolutely massive and incredibly well organized because programmers are nothing if not incredibly pedantic. The result is that the task of writing code can be largely offloaded and with recent models, the quality of the code being produced is extremely good, especially in tasks that are well solved/documented.











  • Good example of outfits sending signals.

    Slacks and a button-up probably made you look like management just out picking up slack, and people subconsciously left you alone - “oh, they’re probably really busy with management stuff and also had to go shelve books… I’ll leave them alone”

    Casual clothes in contrast would have signalled “worker” - “I’ll just go ask that person, it’s not like they’re doing anything important, they’re just shelving books!”