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Joined 11 months ago
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Cake day: October 1st, 2023

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  • Why not buy some under water drills and an underwater propulsion device then go down to the marina and sink some expensive yatchs? How about slashing some police tires?

    Why not study an industry you wanna take down and figure out how? Or gather an online flash mob and invade a conservative website or institution. How about running for office at your local council? Or sending letters to good and bad politicians saying what you think. Contact the media about something you believe but make sure it’s the right level for what you’re saying.

    Or go read some leftwing theory.









  • Curry is woke! Finally someone said it!

    … it’s because it’s foreign and makes my mouth feel burning. I don’t like it. I’m glad someone is finally standing up to this woke nonsense invading our culture!

    …holy shit, I was pretending but are these guys just afraid of being colonized? It’s like a projection of a fear of being on the other side of the historical fence, a subconscious history they can’t acknowledge so it comes out as a fear of foriegn things they don’t understand being in control of their “new world”









  • It’s because the male ones believe their courses have informed them, and turned them into “knowledge experts” who know better than you. Where as female case managers believe their courses have made them better at connecting people to their resources and practices.

    In short, whether conscious or not, the courses they do have different gendered outlooks and effects of participants.

    One group becomes entitled ro superiority, and the others becomes a more connected listener.

    But it might also be because men lack the lived experience most compatible with your own, and it’s possible they’re better at providing for male clients.

    …but really I think women are just likely better at the job, and more likely to be sensitive to the needs of others in a more consistent and accurate manner.



  • They don’t recall information from a repository, the repository is translated into a set of topic based weighted probabilities of what words come next.

    Those probabilities are then used to reconstruct a best-guess at what words are next when generating strings of language.

    It’s not recall, it’s a form of “free” association, which is quite tightly bounded to the context, topic, and weightings of the training data.

    This is not precise and is more likely to create average answers and sentences, rather than precise ones.

    It’s not recall, it’s really convincing lies.

    “He seems to know what he’s talking about, and speaks with a certain kind of authority which makes sense and sounds knowledgeable”.