Sure, but as a leftist who grew up in a deep red area, I can tell you that those people are, largely, uneducated and ignorant.

It is because of that ignorance that they’re able to believe the lies that led them to acting the way that they did. The people who bear the majority of the responsibility and blame are the ones who know that they’re taking advantage of and cultivating that ignorance.

I get to hear, in real time, the propaganda engine work on these people (which includes most of my family). I see how topics are framed, by media personalities, into palatable actions. As I’m writing this, there’s a podcast playing at my job, where DOGE is being celebrated for finding ‘fraud and abuse’. I know, for a fact, that the listeners don’t have a high school education and have no idea how the government’s payment systems work… but the radio is telling them that DOGE is doing good work.

So, how can they know any better? These are not people who’re ever going to continue their education and their media literacy skills were developed in the 80s. They’re simply not equipped to handle the scale of lying that exists in the modern world.

On the other hand, the person talking, has multiple degrees and has served in the federal government. That person KNOWS they’re lying but continue to do so because it is profitable. I find people like that to be far more culpable. They’re lying for profit (grifting, to use an over used term) and their lies reach millions of voters.

Then you have the people who benefit from the lies. Trump and Elon know that they’re dealing with ignorant people, they know exactly how to use populist rhetoric at public events. While, in private, they’re using the power that they’ve obtained to corruptly enrich themselves and their sycophants.

Direct your ire at the people who’re actively profiting off of lies and corruption. Help to educate the other people around you when they’re being fed lies.

Attacking your neighbor while Elon and Trump ransack the government is not only pointless, it’s completely counter-productive and ensures that we’ll never unify against this kind of power grab.

Hot take:

The problem isn’t the other middle class people who’ve been convinced to wear a different color hat.

The problem is the oligarchs who’ve been plotting to take over and destroy the power of the people by dismantling the government. The people who are actively doing that exact thing while the ignorant masses engage in tribalism and attacking people for voting.

Engaging on this topic is just furthering the distraction tactics. The people who’re actively working to destroy the government or implementing policies targeting minority populations are not your neighbors or anybody that you will run into on social media.

Me too nephew, me too

Cut your eggs in half.

It’s financial advice for cooking at home.

Unfortunately, simply reading the constitution without any knowledge of how to parse legal language or any background knowledge about major Supreme Court decisions will leave the average person more confused than informed.

So I don’t doubt that people read it, but there is a reason that law school isn’t simply reciting the constitution.

While the average voter may be ignorant… JD Vance absolutely knows better, he doesn’t get to hide behind claims of ignorance or confusion.

I know this one, from Middle School civics: The Judicial Branch!

Maybe they don’t teach that in law school (???)

I love these threads, free karma:

Man bad.

<- Upvotes that way

Person A: Vague, sexist generalizations deserve rude answers.

Person B: WHAT ABOUT WOMEN IN AFGHANISTAN?!

So, what about women’s treatment in Afghanistan disproves the claim “Vague, sexist generalizations deserve rude answers”?

Do vague, sexist generalizations not deserve rude answers because of the treatment of women in Afghanistan?

Maybe if women were treated better in Afghanistan then vague sexist answers would be more deserving of rude answers?.. Or would they be less deserving?

Are you a bot? Because nothing that you typed makes any sense, at all, in this context.

There are thousands of different diffusion models, not all of them are trained on copyright protected work.

In addition, substantially transformative works are allowed to use content that is otherwise copy protected under the fair use doctrine.

It’s hard to argue that a model, a file containing the trained weight matrices, is in any way substantially similar to any existing copyrighted work. TL;DR: There are no pictures of Mickey Mouse in a GGUF file.

Fair use has already been upheld in the courts concerning machine learning models trained using books.

For instance, under the precedent established in Authors Guild v. HathiTrust and upheld in Authors Guild v. Google, the US Court of Appeals for the Second Circuit held that mass digitization of a large volume of in-copyright books in order to distill and reveal new information about the books was a fair use.

And, perhaps more pragmatically, the genie is already out of the bottle. The software and weights are already available and you can train and fine-tune your own models on consumer graphics cards. No court ruling or regulation will restrain every country on the globe and every country is rapidly researching and producing generative models.

The battle is already over, the ship has sailed.

I left a flat spot on my door so people can knock

Companies that are incompetently led will fail and companies that integrate new AI tools in a productive and useful manner will succeed.

Worrying about AI replacing coders is pointless. Anyone who writes code for a living understands the limitations that these models have. It isn’t going to replace humans for quite a long time.

Language models are hitting some hard limitations and were unlikely to see improvements continue at the same pace.

Transformers, Mixture of Experts and some training efficiency breakthroughs all happened around the same time which gave the impression of an AI explosion but the current models are essentially taking advantage of everything and we’re seeing pretty strong diminishing returns on larger training sets.

So language models, absent a new revolutionary breakthrough, are largely as good as they’re going to get for the foreseeable future.

They’re not replacing software engineers, at best they’re slightly more advanced syntax checkers/LSPs. They may help with junior developer level tasks like refactoring or debugging… but they’re not designing applications.

I know that it’s a meme to hate on generated images people need to understand just how much that ship has sailed.

Getting upset at generative AI is about as absurd as getting upset at CGI special effects or digital images. Both of these things were the subject of derision when they started being widely used. CGI was seen as a second rate knockoff of “real” special effects and digital images were seen as the tool of amateur photographers with their Photoshop tools acting as a crutch in place of real photography talent.

No amount of arguments film purist or nostalgia for the old days of puppets and models in movies was going to stop computer graphics and digital images capture and manipulation. Today those arguments seem so quaint and ignorant that most people are not even aware that there was even a controversy.

Digital images and computer graphics have nearly completely displaced film photography and physical model-based special effects.

Much like those technologies, generative AI isn’t going away and it’s only going to improve and become more ubiquitous.

This isn’t the hill to die on no matter how many upvotes you get.

Damn near

No, this is Patrick

That’s pretty close, the Permissive Action Link code was 00000000 for about 20 years.

This hamster is clearly in the know…

I think it’s because we here in the technical nerdy spaces know the value of a cooties shot…