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EldritchFeminity

EldritchFeminity@lemmy.blahaj.zone
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Fun fact, there’s an industry term called TTP: Time To Penis. It’s the estimated amount of time before a player draws a dick in your game, whether through bullet holes in a wall or something else. It’s often measured in seconds.

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TIL driving to and from work is “recreational” unless you have a TV or something in the back of your car.

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Not blatantly, but there are signs of it even in the first book; and as the books go on, you can see almost in real time her political views shift from criticizing the system to defending it as she started becoming wealthy and benefiting from the system.

I highly recommend watching Shaun’s 2 hour video on the subject, as it goes into great detail on the subject and makes for perfect podcast material.

Some highlights include:

  • Obesity as a moral failing - want to make a character seem bad? Just make them fat!
  • Masculine features as a negative trait for women (sound familiar?) - want to make a teenage girl bad (and ugly) but don’t want to make her fat? Just talk over and over about her “mannish hands” and sharp jawline.
  • Token minority characters that are often stereotypes or border on racism - the black kid is named Shacklebolt, the Asian girl is named two single syllable last names (might as well have called her Ching Chong), the 12 year old Irish kid is obsessed with turning drinks into whiskey and blowing stuff up, etc.
  • The defense of the slavery of house elves using the exact same arguments that slave owners used before the Civil War in the US mentioned by somebody else, with a bonus criticism of Hermione as a girl with blue hair and pronouns for questioning and trying to change the system.
  • There are no good or bad actions, only good or bad people. It’s okay for the right people to use the torture spell, because they’re the “good guys.”
  • And a resolution that basically resolves nothing. Harry doesn’t kill Voldemort, he kills himself due to a magic technicality, and Harry goes on to become a magic cop to ensure the flawed system that the early books criticized doesn’t change.
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Management forgets that strikes and unions were the concession negotiated in lieu of beating factory owners to death in the street.

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Don’t forget that it’s also effectively a pay cut due to the added expenses and time lost in commuting. They should ask if the company is going to at least pay for the maintenance of the car if they aren’t going to pay for the time spent commuting.

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While I think this was a stupid way to go about risking jail time for a noble cause, I would like to remind everybody here of what everybody in the 60s thought about MLK and his peaceful protests:

There never has nor will there ever be such a thing as “the right way to protest.” The right way to protest means out of sight where it can be conveniently ignored.

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The argument that these models learn in a way that’s similar to how humans do is absolutely false, and the idea that they discard their training data and produce new content is demonstrably incorrect. These models can and do regurgitate their training data, including copyrighted characters.

And these things don’t learn styles, techniques, or concepts. They effectively learn statistical averages and patterns and collage them together. I’ve gotten to the point where I can guess what model of image generator was used based on the same repeated mistakes that they make every time. Take a look at any generated image, and you won’t be able to identify where a light source is because the shadows come from all different directions. These things don’t understand the concept of a shadow or lighting, they just know that statistically lighter pixels are followed by darker pixels of the same hue and that some places have collections of lighter pixels. I recently heard about an ai that scientists had trained to identify pictures of wolves that was working with incredible accuracy. When they went in to figure out how it was identifying wolves from dogs like huskies so well, they found that it wasn’t even looking at the wolves at all. 100% of the images of wolves in its training data had snowy backgrounds, so it was simply searching for concentrations of white pixels (and therefore snow) in the image to determine whether or not a picture was of wolves or not.

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Are Millennials hating on Gen Z? I always thought our attitude was more like this:

Also, love how this skips Gen X. Always the forgotten generation.

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I saw some context for this, and the short of it is that headline writers want you to hate click on articles.

What the article is actually about is that there’s tons of solar panels now but not enough infrastructure to effectively limit/store/use the power at peak production, and the extra energy in the grid can cause damage. Damage to the extent of people being without power for months.

California had a tax incentive program for solar panels, but not batteries, and because batteries are expensive, they’re in a situation now where so many people put panels on their houses but no batteries to store excess power that they can’t store the power when it surpasses demand, so the state is literally paying companies to run their industrial stoves and stuff just to burn off the excess power to keep the grid from being destroyed.

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