DreamerOfImprobableDreams

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Joined 1 year ago
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Cake day: June 16th, 2023

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  • It’s also been used as a symbol of the Russian invasion (since during the initial attack, the Russians used Z, V, and O as markings on their vehicles. Fortunately, O never seemed to catch on at all, probably cause it’s too generic a shape.) You saw it sometimes in Russian propaganda alongside the Z, especially towards the beginning of the war. But it seems like it’s been mostly phased out in favor of focusing on Z in the last few months.

    And yes, can’t believe I forgot about Q! Although that’s probably a good thing, because it hopefully means QAnon’s peaked and is starting to fade? Finger crossing intensifies








  • Yep, they define social fucking democrats as being “centrists”, while simultaneously trying to convince you far-right extremists are poor misguided souls who’ll make good allies to help us take on the true enemy, those damn dirty libs. Then they’re absolutely shocked when the first thing the far-right does when the libs are defeated is to stab them in the back and seize power for themselves. :/









  • I remember hearing about a high-profile case where the AI would dock points if someone’s resume listed them as participating in women’s sports as an extracurricular, while giving extra points if it listed them as participating in men’s sports.

    Also, bias doesn’t necessarily have to come from happenstance. Unfortunately, humans tend to have unconcious (or, sometimes, not-so-unconcious) biases against women and people of color. There was a study where researchers sent identical resumes to a random group of recruiters-- but half of the resumes had a male name and half had a female name.

    They found that both male and female recruiters were more likely to rate the resumes with the male name higher and be more likely to recommend they be advanced to the next round of interviews. IIRC, similar studies have found similar results if you give the resumes a “Black sounding” name versus a “white sounding” name.

    So if you train an AI on your own company’s hiring data-- which is likely to be tainted by the unconcious bias of your own recruiters and hiring managers-- then the AI might pick up on that and replicate it in its results.