I think there's a cliff between affordability/knowledge and payload capacity that has kept this from being practical. Then there's the traceability aspect. Where and how you buy it, how it's controlled, etc. A drone controlled by a smart phone can be traced back to that phone, for example.

A drone is far cheaper than a missile, but the military can drop thousands on a drone and not blink an eye. That's not something that's practical for the average person, and the skills required to build one are also at the higher end of hobbyist level skills. It's similar to 3d printed equipment. 3d printed guns are a thing, but it's generally easier to go buy some PVC pipe for a barrel and a nail for a firing pin. Or just buy a gun, they're about the price of RAM nowadays. People have even printed RPGs and man portable anti-air/anti-armor missile launchers, but it's not something even your average skilled hobbyist can do.

The day somebody makes a flying pressure cooker out of an R/C car, though, all bets are off.

Yeah, and guns don't kill people. People kill people!

This is making some heavy assumptions about what the average MAGAT knows about Jesus. As far as most of them are concerned, Jesus' favorite gun would be an AR-15.

For them, the Bible is merely a thick paper tweet to be used to smack anybody who disagrees with them like a cartoon character smacking a dog with the newspaper.

This is also the second time that he's tried this. The first time was during his previous term, and though he was forced to reopen everything by the courts, the fact that he sold some of the federal land to (I think) oil companies was never acted upon, despite it being illegal to sell public land to corporate interests.

It absolutely does need it. It's needed it for several decades at this point. Layoffs in the past few years have been higher than they were during the 2008 recession, and that's a year after year stat, not combined. Every year has had worse layoffs than after one of the worst financial collapses in recent history. Wages have been stagnate since I was in college almost 20 years ago and realized that I made more at my summer job than I could expect to make starting out as an artist in the industry, and I'd be walking in with a bunch of college debt.

Let it burn and watch the new studios built by people who make games, not corporate finance bros, rise from the ashes like new growth after a brush fire, full of passion for making good games first and foremost.

When was the last time an American was held responsible for a war crime?

In my lifetime, we've been doing them since Bush Jr was in office, and I've never heard of a single one.

Related:

They would, but UHC deemed it unnecessary care and denied their claim.

The Muskrat is the reason why I can't even feel good about anything SpaceX does. Every time they do something to propel space exploration forward, all I can think about is how he and his cronies are going to use it to privatize space for profits.

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.