Θώθ

Are you a friend of Dorothy?

Stop

Deflecting

I think people are still hung up on 2016 because it's the most brazen and blatant showing in recent memory of the Democratic Party ignoring their constituents in favor of a candidate who was largely only popular with corporate donors. Most of the time, they ignore the pleas of young voters or some other group that they then blame their loss on for not showing up, and the rest of the voter base is right there blaming them as well. In 2016, Sanders ran on policies supported by 60% or more of the population - even many Republicans were in support of his policies, so long as you told them the policies before saying whose they were.

It also doesn't help that both Clinton and Harris ran on policies that didn't speak to the concerns of the general public, but the big one that gets me is still going on - the media bias. I'll never forget or get over how several TV channels aired 30 minutes of Trump's empty podium instead of Bernie's speech.

What's a stab wound feel like?

Stop deflecting. Why you wanna go up to bat for those who enable the extremists I'll never know, but at least admit it.

SWAT them

It's not people with rigid world views, but people who don't know the social cues/"legalese" of job speak.

Lying by omission is still lying. And if they weren't hard requirements, they should say so. So many job listings I've seen word it like those are the minimum requirements.

I literally never said anything even remotely close to that??? I said fuck the fascists and fuck those who help spread their propaganda. But if you wanna ignore those who keep spawning more fascists, that's your perogative. I'll be out here putting them both against the wall. You can line up next to the rest of the collaborators if you want.

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.