No, you can’t find any copyrighted text inside the model’s weights.

By allowing our politicians a seat at the table you’re opening yourself up to more harm.

Isolate us, make the voting public feel the consequences of their actions. Respond to tariffs with tariffs on red states. Sanction administration official of the inevitable human rights abuses that are coming. Call out the lies of our Government openly and with evidence.

This isn’t going to change if there are never any consequences for the people who’re doing this as well as their supporters. Revoke the visas of our oligarchs, limit their travel, stop doing business with their companies. Create incentives for educated Americans to immigrate to healthier democracies and ban our social media companies before they finish poisoning your country as well.

They didn’t say that their VR headset could actually see both of the 4k displays at once. The highest resolution consumer VR headset is 3840 x3744 @ 90hz.

So it isn’t a lie to say that I can create a 16k 240hz virtual display but unless my face is right on top of it then it is like reading through a screen door and I’m only seeing, at max 144hz (Index). While VR/AR is incredibly promising, currently it’s certainly not a replacement for an actual monitor for high-end tasks (like gaming).

In machine learning, that task is referred to as classification

I had all of these problems with Jellyfin and then I discovered Netflix (www.netflix.com/totallynotareferral)

The walls get hot, you absorb the heat from the walls with a fluid. You use the fluid to heat water, you use the steam to drive a turbine, you use the turbine to turn a permanent magnet inside of a coil of wire. In addition, you can capture neutrons using a liquid metal (lithium) which heats the lithium, which heats the walls, which heats the water, which makes steam, which drives a turbine, which generates electricity.

If you poured water onto them they wouldn’t explode. 100 million degrees Celsius doesn’t mean much when the mass is so low compared to the mass of the water.

Until you see companies selling liquid nitrogen generators, you’re not going to have to worry about anyone pushing quantum chips on the average consumer.

It prints in white text on a black background

We got extended memory now! Bill gates doesn’t know what he’s talking about.

The people:

No, it’s recognizing that tinkering means different things now.

In the 80s and 90s, if you were learning computers you had no choice but to understand how the physical machine worked and how software interacted with it. Understanding the operating system, and scripting was required for essentially any task that wasn’t in the narrow collection of tasks where there was commercial software. There was essentially one path (or a bunch of paths that were closely related to each other) for people interested in computers.

That just isn’t the case now. There are more options available and many (most?) of them are built on top of software that abstracts away the underlying complexity. Now, a person can use technology and never need to understand how it works. Smartphones are an excellent example of this. People learn to use iOS or Android without ever knowing how it works, they deal with the abstractions instead of the underlying bits that were used to create it.

For example, If you want to play games, you press a button in Steam and it installs. If you want to stream your gaming session to millions of people, you install OBS and enter your Twitch credentials. You don’t need to understand graphical pipelines, codecs, networking, load balancing, or worry about creating client-side applications for your users. Everything is already created for you.

There are more options available in technology and it is completely expected that people distribute themselves amongst those options.

I’ve noticed that a lot in newer users.

Even in technical fields, the users know how to use the software but they don’t understand anything under that. A lot of people got into computer via smartphones where you are essentially locked out of anything below the application layer.

Best I can do is a hollow shell piloted by the most corrupt individuals which only exists to the extent that it channels tax dollars into donors pockets.

• Anyone implementing real security is seen as suspicious and likely criminal and subjected to greater scrutiny by law enforcement and intelligence agencies.

☝️🤓

Everyone who is like “we only want more people who understand the fediverse” are is stupid.

Everyone are stupid ❌

Everyone is stupid ✅

I can talk to computers but not people, we need all kinds here 🥳

It never was free thinking.

It styled itself in that way to capture the upper-middle class market segment of people who wanted to use technology but couldn’t be bothered to learn how

Like every tech company, they sell you the ability to access the fruits of technology in exchange for your privacy and, in doing so, ensure you never have the motivation to learn how to do it yourself.

Want to watch a movie? Don’t worry about learning about media files, players, codecs, etc. Just install this spyware on your phone and pay us $9 $12 $15 $19.99/mo and you’ll never have to learn.

You’re already on Lemmy, so most of you understand the stakes of signing up for corporate mediated technology. Just don’t use their products.

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