I'm just gonna play devil's advocate here.

Before the invention of the police, communities took it upon themselves to enforce the law. Oftentimes, militia members would directly write to governors asking for arms, and would also be present in their communities during public events where an armed presence might be necessary. Arrests for members of the community would happen by way of court order first, and then a posse would be formed as a means to enact that court order. Nowhere in the US constitution does the word "police" appear because the idea hadn't even been conceived at the time of foundation.

Comparatively, today's police have far more authority to enact violence and effect arrests than even the courts. Could a court today order a dog to maul a surrendering man? Probably not. But when the police do it, apparently, that's just the cost of doing business.

I think the lie is that we need the police and not the other way around.

Lol... I just read the paper, and Dr Zhao actually just wrote a research paper on why it's actually legally OK to use images to train AI. Hear me out...

He changes the 'style' of input images to corrupt the ability of image generators to mimic them, and even shows that the super majority of artists even can't tell when this happens with his program, Glaze... Style is explicitly not copywriteable in US case law, and so he just provided evidence that the data OpenAI and others use to generate images is transformative which would legally mean that it falls under fair use.

No idea if this would actually get argued in court, but it certainly doesn't support the idea that these image generators are stealing actual artwork.

So that's the thing. People say that they'll never retire and that it sounds boring, but the reality is much different. You just find other things to do. What you'll find is that when you stop working for someone else, you start working for yourself... and if you're a determined individual you'll be busier than you've ever been in your life. Just something to consider.

He's not saying "AI is done, there's nothing else to do, we've hit the limit", he's saying "bigger models don't necessarily yield better results like we had initially anticipated"

Sam recently went before congress and advocated for limiting model sizes as a means of regulation, because, at the time, he believed bigger would generally always mean better outputs. What we're seeing now is that if a model is too large it will have trouble producing truthful output, which is super important to us humans.

And honestly, I don't think anyone should be shocked by this. Our own human brains have different sections that control different aspects of our lives. Why would an AI brain be different?

Somehow I don't think the Quest 3 is going to be a problem. The battery only lasts a couple hours, and you look dumb as hell wearing it in public. Unless the point is to look dumb as hell in public, then mission accomplished.

Gonna just buck the trend and say that this AI push has me excited for the future. It's easy to be a nay-sayer, but I genuinely believe the leaps made in AI in just the last year are amazing.

The author clearly doesn't like AI, and completely mischaracterizes Mistral AI for things their models could say, but doesn't consider at all why unaligned models are useful in developing your own.

The author likes to highlight that sometimes an AI will make things up, a phenomenon known as hallucinating. Hallucinations could also be called "creativity" in certain contexts. This isn't always a fault, especially when creativity is the intended purpose.

The author pointed out how it's possible to prompt engineer out sensitive data, and how there's a lack of privacy... which isn't a problem with the tech, but rather tech companies.

The technology used behind the scenes with ChatGPT isn't exclusively for text generation. I'm seeing it appear in speech to text / text to speech applications. It's showing up in image and video editing. It's showing up in ... well ... images/movies of an adult nature.

You're probably already consuming AI generated content without even realizing it.

There's a ton of stuff ChatGPT won't answer, which is supremely annoying.

I've tried making Dungeons and Dragons scenarios with it, and it will simply refuse to describe violence. Pretty much a full stop.

Open AI is also a complete prude about nudity, so Eilistraee (Drow godess that dances with a sword) just isn't an option for their image generation. Text generation will try to avoid nudity, but also stop short of directly addressing it.

Sarcasm is, for the most part, very difficult to do... If ChatGPT thinks what you're trying to write is mean-spirited, it just won't do it. However, delusional/magical thinking is actually acceptable. Try asking ChatGPT how licking stamps will give you better body positivity, and it's fine, and often unintentionally very funny.

There's plenty of topics that LLMs are overly sensitive about, and uncensored models largely correct that. I'm running Wizard 30B uncensored locally, and ChatGPT for everything else. I'd like to think I'm not a weirdo, I just like D&d... a lot, lol... and even with my use case I'm bumping my head on some of the censorship issues with LLMs.

I actually did ask my Doctor about why this happens once. Mainly it's because if a patient before you has something that needs more time it messes up the schedule for every patient after... and this happens every single day. If no one cancels their appointments, then this problem just continually compounds throughout the day. The best bet to being seen on time is to be the first patient of the day.

Or just intentionally show up a few minutes late and take the mild scolding from the receptionist. It's not like they're going to turn ya away

Despite being 4 years old it's still one of the better options, though with caveats. The one thing that it has that nothing else really has is real time AI upscaling. I've stopped using my Shield, and went back to using Roku boxes and Raspberry Pi 4B's... so it's hard for me to really recommend the Shield.

Nvidia has pretty much abandoned GeForce Experience, so despite this being a selling point for the device, you'd be happier using Moonlight + Sunshine even if you did buy a Shield. The Nvidia Shield also has terrible input lag for bluetooth controllers. I think this because of how Android blocks direct access to hardware, and so it introduces input lag. So if you actually want to use GeForce Experience, it means you'd have to buy and 8bitdo USB stick, or pay for VirtualHere to fix the controller problem. I personally setup a Raspberry Pi 4B with Moonlight and I'm much happier with that.

For Plex, I'd be hesitant. Over on Reddit I keep reading about how people have attempted using the Shield to run their home media, and it's usually followed with regret. I didn't get into streaming locally until after I stopped using my Shield, though so I can't personally attest to that. Instead, I'm using a second Pi to run a NAS and Jellyfin... and again, the Shield might be preferable if you want everything in one unit.

So, I can't exactly recommend the Nvidia Shield... but at the same time I don't think most people would have the time to build their own Raspberry Pi based solutions either.

Anyone living or dead? Definitely dead. I think I could reliably win a fight against a dead guy.

If they're taking down Magpie then the mods are absolutely compromised on Superstonk. She's been active forever.

I'm actually enjoying lemmy quite a bit. It feels a lot like old reddit, and it'd be awesome to stoke those "it's new and exciting" fires again.