I don’t think so.

The original is not that old and is on-par with state of the art AAA graphics anyway.

Just buy the original on GOG so you don’t have to worry about DRM in your offline singleplayer game.

Bruh this is a completely offline singleplayer game

It’s not separate builds, but the App Store already checks your location when you access it, and it uses that location data along with other hints you are under EU jurisdiction to decide whether to allow you to sideload or not.

Or you can use the developer tools to perform a more limited form of sideloading in any country.

This was a boss fight in the DLC. It was very cool! The DLC in general felt a lot more cinematic than the main game. However, that does mean it felt a lot more linear in most levels.

Hmm maybe I’ll look into it again. The concern had something to do with having to spoof a serial number. I own Final Cut and would love to have the beefy GPU and CPU in my desktop accelerate it, but also am very afraid of losing my main account with that and a lot more. Already my current workflow is to render on my old MacBook as uncompressed, then transfer it to my desktop and use FFMPEG to compress. Better results and much faster than trying to have my MacBook do any sort of video compression.

Inkscape is for vector graphics, GIMP is for pixel graphics. You probably want to use a combination of both for many situations (design the logo in Inkscape, touch it up and scale it in GIMP).

From my experience, GIMP is close to par with Photoshop in terms of both features and user friendliness. Inkscape is unfortunately much harder to use than Illustrator.

I got macOS running in a VM on my Linux desktop. But then I didn’t want to connect my main iCloud account because I have heard they may ban you if you they detect you are doing stuff like this.

Without an iCloud account I can’t really do the stuff I actually would want to use macOS for, like using Apple’s movie editing software, or making iPhone apps with XCode. The default mail app is nicer than any alternative for Linux I’m aware of, at least.

Ah, got me

It’s totally possible to make cool mobile apps, but most of the ones you see are just a big company porting their website.

If you add that to the definition, you could still have a “square” with a segment of a circle connecting the edges in the middle

• AI Code suggestions will guide you to making less secure code, not to mention often being lower quality in other ways.
• AI code is designed to look like it fits, not be correct. Sometimes it is correct. Sometimes it’s close but has small errors. Sometimes it looks right but is significantly wrong. Personally I’ve never gotten ChatGPT to write code without significant errors for more than trivially small test cases.
• You aren’t learning as much when you have ChatGPT do it for you, and what you do learn is “this is what chat gpt did and it worked last time” and not “this is what the problem is and last time this is the solution I came up with and this is why that worked”. In the second case you are far better equipped to tackle future problems, which won’t be exactly the same.

All that being said, I do think there is a place for chat GPT in simple queries like asking about syntax for a language you don’t know. But take every answer it gives you with a grain of salt. And if you can find documentation I’d trust that a lot more.

I personally prefer https://hackertyper.net

We aren’t talking about current cameras. We are talking about the proposed plan to make cameras that do cryptographically sign the images they take.

Here’s the link from the start of the thread:

https://arstechnica.com/information-technology/2024/09/google-seeks-authenticity-in-the-age-of-ai-with-new-content-labeling-system

This system is specifically mentioned in the original post: https://www.seroundtable.com/google-search-image-labels-ai-edited-38082.html when they say “C2PA”.

It’s not that simple. It’s not just a “this is or isn’t AI” boolean in the metadata. Hash the image, then sign the hash with digital signature key. The signature will be invalid if the image has been tampered with, and you can’t make a new signature without the signing key.

Once the image is signed, you can’t tamper with it and get away with it.

The vulnerability is, how do you ensure an image isn’t faked before it gets to the signature part? On some level, I think this is a fundamentally unsolvable problem. But there may be ways to make it practically impossible to fake, at least for the average user without highly advanced resources.

Updating my computers from Ubuntu 22.04 to 24.04 was a whole day process. It doesn’t help that the upgrade tool requires you to press enter every so often.

(Yeah yeah I should try other distros. I’ll play with other distros when I’m not spending my time as pictured in the meme.)

(To be clear this is on a couple computer I personally own. The ones the lab owns are on Ubuntu 20.04 if I’m lucky…)

Take a high-quality AI image, add some noise, blur, and compress it a few times.

Or, even better, print it and take a picture of the print out, making sure your photo of the photo is blurry enough to hide the details that would give it away.

Even if you assume the images you care about have this metadata, all it takes is a hacked camera (which could be as simple as carefully taking a photo of your AI-generated image) to fake authenticity.

And the vast majority of images you see online are heavily compressed so it’s not 6MB+ per image for the digitally signed raw images.

I got a monitor stand to put my monitor such that the middle of the screen was level with my eyes. Made my neck hurt worse. It needs to be a bit below eye level.

Cellular respiration is sugar + oxygen -> water + CO2

Combustion reactions are often characterized as anything that is something + oxygen -> water + optionally something else.