Don't forget to draw the rest of the owl, too!

You're largely spot on, but one thing I'd like to add is that Republicans in Walz's state have actually pushed forward a "Trump Derangement Syndrome" bill, which would classify openly speaking negatively about Trump as a mental illness that is valid justification for incarceration in a mental health facility, which is exactly what Russia did.

We'll need to do a double blind study. At least. The only question is what will we use for the control group. Femboys kissing femboys? Trans girls kissing trans girls? Maybe both? We should be as thorough as possible. Maybe a rigorous oral exam is in order as well.

They read it as a third of 20% (with 20% of all Americans boycotting), meaning 6% of all Americans.

Rule number one of OpSec is if you're gonna do something, don't tell anyone. If they're planning something that the government can/would consider illegal, saying something online is the stupidest thing you can do. Even if it's as innocuous as planning to protest.

Behind this mask is more than a man, Mr. Creedy. Behind this mask is an idea, and ideas cannot be killed.

They also said at one point that these guys were "corrupting the youth with their long hair."

Related:

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.

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.

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.