• 2 Posts
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Joined 2 years ago
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Cake day: September 28th, 2023

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  • Yeah, exactly - that’s what I mean. Hypothetically, if 50% of the violence done by women involves men, then the 82% is really more like 91%, and the violence attributed to women starts to look more and more like a rounding error. This meme is getting more rational all the time. It’s almost like bringing statistics into it does nothing but present a lame fig leaf to cover up the underlying, endemic problem that inspired the meme in the first place.














  • I suspect the fact that you don’t know much about it is why you are parroting widely discredited transphobic talking points.

    The point is that today, we see clearly with the benefit of hindsight that racial segregation was done purely for the sake of racism. At the time, people muddied the waters with pseudoscientific rationalizations like phrenology and eugenics to mislead the masses and justify their bigotry, just like people are doing today with trans people in sports.

    The only reason water fountains are seen as different is because the racists lost and we collectively have a new perspective after decades of integration. The transphobes are still empowered. Make no mistake, the bigots would love to reinstate all manner of segregation if they could, racial or otherwise. Trans people are just an easier target right now.



  • It’s tricky, because there’s no hard definition for what it means to “change the world”, either. To me, it brings to mind technologies like the Internet, the telephone, aviation, or the steam engine. In those cases, it seems like the common thread is to enable us to do something that simply wasn’t possible before, and is also reliably useful.

    To me, AI fails on both those points. It doesn’t really enable us to do anything new. We already had chat bots, we already had Photoshop, we already had search algorithms and auto complete. It can do some of those things a lot more quickly than older technologies, but until they solve the hallucination problems it doesn’t seem reliable enough to be consistently useful.

    These things make it come off more as a potential incremental improvement that is still too early in it’s infancy, than as something truly revolutionary.