Immediately, probably not. Privacy is one of those things where when you really need it, you can’t get it… unless you already have it.

Also, it’s not like you know the motivations of all 7 billion people on earth. If you’re out in the open, it just makes it easy for the lazy to find you.

I can get behind using a VPN, a phone with Graphene or Calyx, adblocker, user agent switcher, librewolf, and stuff… you give up some convenience for privacy, but it’s not overbearing. Tor, however, isn’t exactly useful as a daily driver.

So is there a visible benefit? Hopefully not. If you’re doing it right, you’ll just live a normal life and not be bothered.

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.

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.

Man. That AIMS low frequency inverter is nice.

I actually bought one of those cheaper Chinese pure sine wave inverters, but found that they don’t run motors/power tools that well. The surge current demand just exceeds anything they can provide. They’re great for resistive loads like PCs/LEDs/Hotplates, but if you wanted to run a table saw or something the AIMS is the only way.

Gonna make a guess here and assume that the EU probably wants to increase lithium recycling. Removable batteries would probably make that goal a bit more achievable