The assumption here is that the AI-generated code wasn’t reviewed and polished before submission. I’ve written stuff with AI and sometimes it does a fantastic job. Other times it generates code that’s so bad it’s a horror show.

Over time, it’s getting a little bit better. Years from now it’ll be at that 99% “good enough” threshold and no one will care that code was AI-generated anymore.

The key is that code is code: As long as someone is manually reviewing and testing it, you can save a great deal of time and produce good results. It’s useful.

When my kids were young, but old enough that they may inadvertently stumble upon porn, I told them the truth. The truth that so few explain to their children. The truth that many adults don’t understand and many more completely forget.

Porn is fake.

It’s not real. The sounds? Acting. The breasts? Those are fake too. The perfect skin? Makeup (or airbrush).

Even “amateur” porn is fake! As soon as someone agrees to be filmed having sex it ceases to be real.

Also, let me get this straight: Your greatest fear from children being exposed to porn is they might begin to accept mysogyny‽ As in, you think porn is the most likely place kids will be exposed to it and somehow just nod their heads‽ “Oh wow, that’s totally sexist! But they’re having sex so it must be OK. I’ll try to be like that!” (Child nods head).

Or perhaps you think kids will be viewing so much porn—specifically, the mysogynistic kind—that it will somehow carve mysogyny into their minds?

This is so much like the beliefs of conservatives that try to ban books that mention LGBTQ people. Stop and think for a moment: How much porn did you view as a kid? How did that impact your life?

I seriously doubt it changed much. Unless, of course, you were reading Playboy for the articles.

Just think: Without legislation like this, kids will be able to see people having sex! Thus, ending their lives. Not so different from staring into the eyes of Medusa!

The amount of children exposed to sex that have died—or suffered worse consequences like early onset conservatism—may have been zero so far but the dangers are clear! We must skip right over parental involvement in child rearing and go straight to the source of the problem: Computers.

Computers have been giving everyone access to too much information for too long! We must restrict it! The first step is to get an implementation that actually works to censor information—to save the children (wink wink)—then later, we will have the tools necessary to censor whatever we want!

When glorious dictator decides that information about trans-genic mice must be erased from the Internet, we shall have the power to do so!

Not a damned thing in that article had anything at all to do with “chatbots”.

This is why web browsers like Firefox need their own AI. Local AI for not only creating summaries but for detecting bullshit like this.

Yes, creating summaries is kinda lame but without local AI you’re at the mercy of big corporations. It’s a new arms race. Not some bullshit feature that no one needs.

It’s a common problem with electromechanical switches. Especially if you have salty, sweaty hands.

The solution is to get a keyboard that uses contactless switches like hall effect, TMR, optical, etc.

I designed and built my own hall effect keyboard (and custom 3D printed Void Switches) from scratch because I was having to replace my keyboard once every 18 months or so because of the exact problem you describe 🤷

That’s just the tip of the iceberg of cool and useful stuff you can do with KDE Plasma (and Kwin).

Another tip: Did you know that KRunner (Alt-Space) can do unit conversions? Type Alt-Space and 10cm or something like that and it’ll give you that value in inches.

Another: You can bind shortcuts to mouse buttons like Ctrl-Alt-Right (click) And Ctrl-Alt-Left to say, switch desktops right/left.

You can type Ctrl-i in Dolphin to filter files. So if you’re looking at your enormous downloads directory and you want to see all the .png files you can type Ctrl-i, png and it’ll only show you files with png in their name.

KDE’s “get hot new stuff” framework works with Dolphin “actions” (context menu file handlers) so you can go into the settings—>Context Menu and click on “Download New Services” to browse tons of free scripts/tools that let you do things like file conversions, write disk images to USB drives, get checksums, etc.

I actually made a personal script that converts videos to looping .webp files (or just sets WebP files to loop forever). So I can right click on a .WebP, .webm, .mp4, etc and it’ll run ffmpeg on it in the background.

Every decade since 1999 (the year of the Linux desktop—for me) I spend a few weeks trying out all the hot new shit in terms of desktop environments. I’ll switch to Gnome for a few days, get disappointed at how much I miss from KDE, and then try one of the newer ones like Cosmic. Then I’ll play with the latest versions of the classics (xfce) and marvel that they still make you configure everything in a single file or they still lack basic shit that normal people want like a clipboard manager.

All the actually useful or just plain really, really nice/handy stuff is built into KDE Plasma. I’ve been using so many of those features for so long, I can’t fathom having to go back to a world without say, being able to navigate the filesystems on all my other PCs via ssh:// (and other KIO workers).

I remember when KDE 2.0 came out and it added support for kioslaves (now called KIO Workers) and it completely changed how I viewed desktops. That was in the year 2000. How is it that literally nothing else (not other FOSS desktops nor Windows or Macs) has implemented the same feature?

It’s not just the file manager, either. I can access ssh:// (or any other KIO worker) from any file dialog! The closest thing is shared drives in Windows but even that isn’t nearly as flexible or feature rich (or efficient, haha).

Then there’s the clipboard manager (klipper), Activities, and a control panel that lets you customize everything to extreme degrees. It even supports fractional scaling and has supported that since forever. I remember when they introduced that feature over a decade ago and it still blows my mind to this day just how forward thinking the devs were.

Monitors since forever have had a different X DPI than the Y DPI. Yet only the KDE devs bothered to both query the monitor’s DDC info to figure that out and set it correctly when the desktop starts.

There’s other features that drive me nuts when I don’t have them! For example, the ability to disable global shortcuts on specific windows. So if I’ve got a remote desktop open to my work I can send Super-. (Win-.) and that’ll open the Windows emoji picker in the remote desktop instead of the KDE one (locally). And it will remember this setting for that application!

I can make any window I want stay above others temporarily to take notes, enter values into the calculator, or just turn any window into something like a HUD (you can control any window’s transparency on the fly!).

It even supports window tiling! A feature most people aren’t aware of. Like, if you’re already running KDE, why bother with a tiling window manager? You’ve already got it (though the keyboard shortcuts to manage the tiling layout in real time are lacking).

TL;DR: KDE Plasma is the best desktop in existence across all platforms and this is easy to prove with empircal evidence.

The Void already has claims to all of us. The Void actually enjoys and needs the screaming, so it’ll be patient and wait until your warranty runs out; when your particular version stops getting patches and reaches EOL.

When that happens, it’ll welcome you, and you’ll get sent to /dev/random instead of the recycle bin or the trash can.

Note: You’ll have to wait for enough entropy in order to get to your next destination. How long that takes depends on how many people are screaming into the void at that time 🤷

This is super interesting. I think academia is going to need to clearly divide “learning” into two categories:

• What you need to memorize.
• What you need to understand.

If you’re being tested on how well you memorized something, using AI to answer questions is cheating.

If you’re being tested on how well you understand something, using AI during an exam isn’t going to help you much unless it’s something that could be understood very quickly. In which case, why are you bothering to test for that knowledge?

If a student has an hour to answer ten questions about a complex topic, and they can somehow understand it well enough by asking AI about it, it either wasn’t worthy of teaching or that student is wasting their time in school; they clearly learn better on their own.

unless you consider every single piece of software or code ever to be just “a way of giving instructions to computers”

Yes. Yes I do. That’s exactly what code is: instructions. That’s literally how computers work. That’s what people like me (software developers) do when we write software: We’re writing down instructions.

When you click or move your mouse, you’re giving the computer instructions (well, the driver is). When you type a key, that’s resulting in an instruction being executed (dozens to thousands, actually).

When I click “submit” on this comment, I’m giving a whole bunch of computers some instructions.

Insert meme of, “you mean computers are just running instructions?” “Always have been.”

In Kadrey v. Meta (court case) a group of authors sued Meta/Anthropic for copyright infringement but the case was thrown out by the judge because they couldn’t actually produce any evidence of infringement beyond, “Look! This passage is similar.” They asked for more time so they could keep trying thousands (millions?) of different prompts until they finally got one that matched enough that they might have some real evidence.

In Getty Images v. Stability AI (UK), the court threw out the case for the same reason: It was determined that even though it was possible to generate an image similar to something owned by Getty, that didn’t meet the legal definition of infringement.

Basically, the courts ruled in both cases, “AI models are not just lossy/lousy compression.”

IMHO: What we really need a ruling on is, “who is responsible?” When an AI model does output something that violate someone’s copyright, is it the owner/creator of the model that’s at fault or the person that instructed it to do so? Even then, does generating something for an individual even count as “distribution” under the law? I mean, I don’t think it does because to me that’s just like using a copier to copy a book. Anyone can do that (legally) for any book they own, but if they start selling/distributing that copy, then they’re violating copyright.

Even then, there’s differences between distributing an AI model that people can use on their PCs (like Stable Diffusion) VS using an AI service to do the same thing. Just because the model can be used for infringement should be meaningless because anything (e.g. a computer, Photoshop, etc) can be used for infringement. The actual act of infringement needs to be something someone does by distributing the work.

You know what? Copyright law is way too fucking complicated, LOL!

Hmmm… That’s all an interesting argument but it has nothing to do with my comparison to YouTube/Netflix (or any other kind of video) streaming.

If we were to compare a heavy user of ChatGPT to a teenager that spends a lot of time streaming videos, the ChatGPT side of the equation wouldn’t even amount to 1% of the power/water used by streaming. In fact, if you add up all the usage of all the popular AI services power/water usage that still doesn’t add up to much compared to video streaming.

but we can reasonably assume that Stable Diffusion can render the image on the right partly because it has stored visual elements from the image on the left.

No, you cannot reasonably assume that. It absolutely did not store the visual elements. What it did, was store some floating point values related to some keywords that the source image had pre-classified. When training, it will increase or decrease those floating point values a small amount when it encounters further images that use those same keywords.

What the examples demonstrate is a lack of diversity in the training set for those very specific keywords. There’s a reason why they chose Stable Diffusion 1.4 and not Stable Diffusion 2.0 (or later versions)… Because they drastically improved the model after that. These sorts of problems (with not-diverse-enough training data) are considered flaws by the very AI researchers creating the models. It’s exactly the type of thing they don’t want to happen!

The article seems to be implying that this is a common problem that happens constantly and that the companies creating these AI models just don’t give a fuck. This is false. It’s flaws like this that leave your model open to attack (and letting competitors figure out your weights; not that it matters with Stable Diffusion since that version is open source), not just copyright lawsuits!

Here’s the part I don’t get: Clearly nobody is distributing copyrighted images by asking AI to do its best to recreate them. When you do this, you end up with severely shitty hack images that nobody wants to look at. Basically, if no one is actually using these images except to say, “aha! My academic research uncovered this tiny flaw in your model that represents an obscure area of AI research!” why TF should anyone care?

They shouldn’t! The only reason why articles like this get any attention at all is because it’s rage bait for AI haters. People who severely hate generative AI will grasp at anything to justify their position. Why? I don’t get it. If you don’t like it, just say you don’t like it! Why do you need to point to absolutely, ridiculously obscure shit like finding a flaw in Stable Diffusion 1.4 (from years ago, before 99% of the world had even heard of generative image AI)?

Generative AI is just the latest way of giving instructions to computers. That’s it! That’s all it is.

Nobody gave a shit about this kind of thing when Star Trek was pretending to do generative AI in the Holodeck. Now that we’ve got he pre-alpha version of that very thing, a lot of extremely vocal haters are freaking TF out.

Do you want the cool shit from Star Trek’s imaginary future or not? This is literally what computer scientists have been dreaming of for decades. It’s here! Have some fun with it!

Generative AI uses up less power/water than streaming YouTube or Netflix (yes, it’s true). So if you’re about to say it’s bad for the environment, I expect you’re just as vocal about streaming video, yeah?

Well, the CSAM stuff is unforgivable but I seriously doubt even the soulless demon that is Elon Musk wants his AI tool generating that. I’m sure they’re working on it (it’s actually a hard computer science sort of problem because the tool is supposed to generate what the user asks for and there’s always going to be an infinite number of ways to trick it since LLMs aren’t actually intelligent).

Porn itself is not illegal.

I don’t know, man… Have you even seen Amber? It might be worth an alert 🤷

The real problem here is that Xitter isn’t supposed to be a porn site (even though it’s hosted loads of porn since before Musk bought it). They basically deeply integrated a porn generator into their very publicly-accessible “short text posts” website. Anyone can ask it to generate porn inside of any post and it’ll happily do so.

It’s like showing up at Walmart and seeing everyone naked (and many fucking), all over the store. That’s not why you’re there (though: Why TF are you still using that shithole of a site‽).

The solution is simple: Everyone everywhere needs to classify Xitter as a porn site. It’ll get blocked by businesses and schools and the world will be a better place.

Yep. Stadia also had a feature like this (that no one ever used).

Just another example of why software patents should not exist.

From the perspective of human perception, people’s voices are only unique enough to about one in a few thousand. There’s a few outliers with much more unique voices but believe it or not, there’s a lot of people walking around on this earth that sound just like Morgan Freeman, James Earl Jones, and other voices people think are super unique.

I view an anti-cloning law as too risky: It sounds exactly like the type of thing that would prevent Grandma from cloning her own voice before going down for surgery because it just so happens to sound a lot like a famous person.

How do you implement voice cloning prevention? Human voices aren’t that unique. Also, AI voice cloning isn’t perfect. So… At what threshold is a voice considered, “cloned” from a legal perspective?

I mean, people couldn’t tell the difference between Scarlet Johansson and OpenAI’s “Sky” voice which was not cloned.