On the one hand, yes, and Fandom is a blight on the internet.

On the other hand, AI like ChatGPT are wrong some 53% of the time. The fact that this is another “use nontoxic glue to keep your cheese from falling off of pizza” situation doesn’t mean that Google isn’t equally culpable for doing nothing to prevent these sorts of occurrences even when the sources are right (AI is as likely to make things up that aren’t even in its cited sources as it is to actually give you info from them).

The worst part of this for me is that I remember when you could build a PC with better specs than a console for the same price. Now we’re coming back full circle to where that might be possible again, but graphics cards never truly came down from their inflated crypto mining prices. So that means consoles are just getting more expensive and everybody is losing.

Found the Republican

For perspective, one of the states in the southwest (I think New Mexico) tried to pass a similar ban and it got overruled by a judge because it was found that it would affect a total of 4 girls in the entire state, and the judge felt that that violated the federal law that says that you can’t make a law that targets specific people (ie you can’t make it illegal for Mike and Jerry specifically to join the basketball team).

Didn’t you know? According to Republicans, “Reality has a liberal bias.”

Another Millennial here, so take that how you will, but I agree. I think that Gen Z is very tech literate, but only in specific areas that may not translate to other areas of competency that are what we think of when we say “tech savvy” - especially when you start talking about job skills.

I think Boomers especially see anybody who can work a smartphone as some sort of computer wizard, while the truth is that Gen Z grew up with it and were immersed in the tech, so of course they’re good with it. What they didn’t grow up with was having to type on a physical keyboard and monkey around with the finer points of how a computer works just to get it to do the thing, so of course they’re not as skilled at it.

Because we’re talking pattern recognition levels of learning. At best, they’re the equivalent of parrots mimicking human speech. They take inputs and output data based on the statistical averages from their training sets - collaging pieces of their training into what they think is the right answer. And I use the word think here loosely, as this is the exact same process that the Gaussian blur tool in Photoshop uses.

This matters in the context of the fact that these companies are trying to profit off of the output of these programs. If somebody with an eidetic memory is trying to sell pieces of works that they’ve consumed as their own - or even somebody copy-pasting bits from Clif Notes - then they should get in trouble; the same as these companies.

Given A and B, we can understand C. But an LLM will only be able to give you AB, A(b), and B(a). And they’ve even been just spitting out A and B wholesale, proving that they retain their training data and will regurgitate the entirety of copyrighted material.

Reminds me of when I read about a programmer getting turned down for a job because they didn’t have 5 years of experience with a language that they themselves had created 1 to 2 years prior.

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’m sure Dollar General’s predatory pricing and aggressive business tactics to kill off local competition have nothing to do with it, too.

Yep, they literally cannot work any other way than as a ponzi scheme. Because the people “earning” want to take more money out of the system than they put in, and the company is taking money out as well just to keep the game running and the employees paid, as well as to make a profit. So you need substantially more suckers buying into the system than the money that is being paid out.

Eventually, somebody is gonna be left holding an empty bag.

I’m reminded of a comment I saw once where somebody was saying how when they were young, they were told that AI would do the miserable jobs so that people would have more time to make art and poetry, while today the AI makes art and poetry so that we can work longer hours at the miserable jobs.

And the AI bros say that this is just a necessary step towards automating away the crappy jobs, but it’s not like they’ll stop automating everything else if/when AI reaches that point. The AI will still continue to automate away the hyman experience of art and culture for the rich. They’re not going to suddenly decide to implement Luxury Gay Space Communism at that point. They’ll just cram everybody into Kow Loon style ghettos.

So the way Tumblr works is that your account is basically a blog, with your home page on the site being populated with posts from the accounts that you follow. You can reblog posts onto your own account and comment on them to create individual conversation threads like this one. At one point, there was a bug in the edit post system that let you edit the entirety of a post when you reblogged it, including what other people had said previously, and even the original post. This would only affect your specific reblog of it, of course, but you could edit a post to say something completely different from the original and create a completely unrelated comment chain.

The question is whether or not Tumblr users would want such a thing.

I feel like the same thing will happen like when WordPress introduced a (bad) TikTok/streaming clone called Tumblr Live. I think less than 10% of the userbase ever interacted with it, most of the community openly hated it, and the people who did use it largely didn’t use Tumblr themselves.

I could see Tumblr users actively finding a way to defederate their blogs from everything Fediverse related.

This smells to me like WordPress reducing their workload more than anything since they own Tumblr (unless maybe there’s some sort of financial incentive to increasing the number of WordPress blogs?).

But also, considering that at one point in Tumblr’s history, you could edit other people’s posts, maybe it is an improvement.

I just bought a forester a few months ago, and my 2 stipulations on the cars I was looking at were all-wheel drive because I live in snow country, and a car no newer than 2018 (IIRC) because that was the year car companies largely switched from manual controls to a 16-inch screen with everything, including climate control, accessed from an app.

When I was talking to the guy at the dealership I bought it from and mentioned how much I disliked the new screens, he outright said, “Yeah, a lot of people don’t like them.”

That’s…literally how hardkill APS works. CIWS takes the same approach but uses a rotary cannon instead. The issue ain’t putting a missile in the path of the other missile. It’s in having enough time to do so. This is why the US concluded that the most effective way to intercept an ICBM is to destroy it before it finishes its acceleration stages. Ballistics is a known quantity.

Still aren’t convincing that you know what the hell you’re talking about.

Tell me you don’t know what you’re talking about without telling me.

You don’t need to hit the bullet with a bullet. You just hit it with a shotgun blast or grenade, either destroying it outright or blowing it off course enough that it loses its energy and becomes ineffective. We literally do this all the time on tanks and humvees. It’s called a hardkill APS. The Russians had one working in the 70s. Modern ones are capable of detecting incoming tank rounds moving between 700-1700m/s, identifying which will hit the vehicle, and blowing them out of the air once they reach 10-15 meters away. All in a span of nanoseconds. It’s standard equipment on Israel’s MBT, and Germany, the US, and the UK have all field tested various systems and are considering making hardkill systems standard for the next generation of tanks and IFVs. Multiple companies across multiple countries make them for upgrade kits. Germany already produces vehicles with standard hardkill APS for their export market.

This isn’t crazy sci-fi technology. It’s just rocket science.

My bet is on it fracturing. Cults of personality usually don’t survive the death of their leader, and that’s exactly what Trump’s diehard supporters are - Flavor-Aid drinking cultists.

I mean that crypto currencies are essentially the same as stocks. They have no worth on their own, and their value is tied to converting them to other currencies.

And this conversion rate fluctuates constantly. What one bitcoin is worth today is not what it will be worth tomorrow. In order to buy something with a crypto currency, companies have to first check how much it’s worth in fiat currency.