On Tuesday, the New York Times published a long interview with Donald Trump’s former chief of staff John Kelly, who Googled an online definition of fascism before saying of his former boss:

Certainly the former president is in the far-right area, he’s certainly an authoritarian, admires people who are dictators—he has said that. So he certainly falls into the general definition of fascist, for sure.

Also on Tuesday, the Atlantic published a report that Trump allegedly said, “I need the kind of generals that Hitler had.”

The revelations have dominated discussions on Fox News, and prompted two-dozen GOP senators to call for Tr—haha, just kidding.

Instead, Democrats and their supporters once again contend with a muted reaction from the media, the public, and politicians, who seem unmoved by Trump’s association with the F-word, no matter how many times Kamala Harris says “January sixth.”

One exception was Matt Drudge, the archconservative linkmonger who has been hard on Trump, who ran a photo of the Führer himself. This proved the rule, argued Times (and former Slate) columnist Jamelle Bouie: “genuinely wild world where, on trump at least, matt drudge has better news judgment than most of the mainstream media.”

Debates about Trump and fascism have been underway for a decade now, and applying the label seems unlikely to convince or motivate anyone. But the lack of alarm underlines a deeper question that doesn’t require a dictionary to engage in: Why do so few Americans, including many on the left, seem to take seriously the idea that Trump would use a second presidency to abuse the law to hurt his enemies?

Maybe it’s because Democrats have studiously avoided confronting Trump about some of the most controversial, damning policy choices of his first term, or the most radical campaign promise for his second. You simply can’t make the full case against Trump—or a compelling illustration of his fascist tendencies—without talking about immigration. Immigration was the key to Trump’s rise and the source of two of his most notorious presidential debacles, the Muslim ban and the child separation policy. Blaming immigrants for national decline is a classic trope of fascist rhetoric; rounding our neighbors up by the millions for expulsion is a proposal with few historical precedents, and none of them are good...

"Judge shopping for me, not for thee"

"Fossil-fuel billionaire Kelcy Warren is about to land a knockout punch on Greenpeace..."

AI firms propose 'personhood credentials' to combat online deception, offering a cryptographically authenticated way to verify real people without sacrificing privacy—though critics warn it may empower governments to control who speaks online.

I use Google Shopping (the “Shopping” tab on Google) to see if local stores carry certain products, what they cost, how far away each store is, etc. It seems to mostly search national or large regional chains, but it was still pretty useful.

Is there any alternative to this (in the US)? The “nearby” function has unfortunately got shittier and shittier over the past year or so. It's gotten less “deterministic," just mixing results from local stores with e-commerce stores, further reducing usefulness.

I don’t remember how I heard of it, but just binged-watched it over the past few days. Ratings seem a little bit above average, but I found it very enjoyable. I liked that the mood oscillates between modern comedy and tragic comedy; and that it seems to implicitely critique modern society. The series almost feels like an allegory (or perhaps I’m reading too much in to it).

I've recently noticed this opinion seems unpopular, at least on Lemmy.

There is nothing wrong with downloading public data and doing statistical analysis on it, which is pretty much what these ML models do. They are not redistributing other peoples' works (well, sometimes they do, unintentionally, and safeguards to prevent this are usually built-in). The training data is generally much, much larger than the model sizes, so it is generally not possible for the models to reconstruct random specific works. They are not creating derivative works, in the legal sense, because they do not copy and modify the original works; they generate "new" content based on probabilities.

My opinion on the subject is pretty much in agreement with this document from the EFF: https://www.eff.org/document/eff-two-pager-ai

I understand the hate for companies using data you would reasonably expect would be private. I understand hate for purposely over-fitting the model on data to reproduce people's "likeness." I understand the hate for AI generated shit (because it is shit). I really don't understand where all this hate for using public data for building a "statistical" model to "learn" general patterns is coming from.

I can also understand the anxiety people may feel, if they believe all the AI hype, that it will eliminate jobs. I don't think AI is going to be able to directly replace people any time soon. It will probably improve productivity (with stuff like background-removers, better autocomplete, etc), which might eliminate some jobs, but that's really just a problem with capitalism, and productivity increases are generally considered good.