Sandbar_Trekker

Granular privacy controls for profile sharing

That said, there is one noticeable new feature for users: easier profile sharing. This feature allows users to share their name and image from existing profiles such as their Google, Apple or operator accounts in a conversation, ensuring that parties in a conversation become easier to identify, particularly in group settings. In keeping with RCS’s focus on ensuring their privacy, users will be able to control who can receive that information.

Looks like iOS devices just recently started supporting E2EE between android and iOS (as long as iOS users have updated to iOS 26.5 and android users are on the latest version of Google Messages).

I’m hoping this means that we’ll start to see other messaging clients supporting RCS besides Google Messages.

Looks like a lot of people are already connecting to this to check it out.

Direct link to the simulation for anyone curious:
https://nikolays.github.io/PGSimCity/

Yeah, unfortunately, they’re good at what they do. Hopefully a better service will come along, or archive.org improves their archival methods. It’s also going to be hard to find a service that ignores requests to delete archived pages.

Obviously, scanning the content of messages and content is controversial, but Apple says it performs the scan on the device. Users can also turn the feature off in the settings. “Sensitive Content Warning uses on-device machine learning to analyze photos and videos. Because they’re analyzed on your device, Apple doesn’t receive an indication that nudity was detected and doesn’t get access to the photos or videos as a result,” its website adds.

I’d rather these kind of systems be set up to run locally like this, even better that we are given control to disable it. For the ML model it’s a balance between too many false positives and too many false negatives.

We probably should find a better archive service:
https://piefed.zip/c/youshouldknow/p/1201608/ysk-archive-today-is-directing-a-ddos-attack-against-this-blog-and-more

By taking on the meme generator, Saflor may hit a wall if the court finds that his arguments apply to any meme generator and a finding in his favor could risk undercutting the entire meme ecosystem, Goldman said.

This will definitely be an interesting case to watch unfold. In my opinion it could definitely be a win if websites that run any kind of meme generator are forced to pay the official artist to have their template on their site.

This doesn’t really seem fitting to this sub, but I guess this is tech related news because they have multiple websites?

In most countries, the output of a single prompt will not be copyrightable. However, once someone starts arranging the output into something more, then copyright can be applied.

Overall, it depends on the country, but in some they are asking their legislators for clarification. Many are trying to apply pre-existing copyright laws to LLMs.

The U.S. Copyright Office wrote up a report about this and included a list of how other countries are handling it.
https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-2-Copyrightability-Report.pdf

Certainly looks interesting, but I have to mention that I’m not a fan of the Discord Rich Presence feature. The directory access that this typically requires immediately bumps up any flatpak to a medium risk category.

Granted I’m definitely one of those users that does not care to share my current status to all other users as to what I’m watching/listening to at every moment.

That article completely practically skips over the section in the report that says that copyright can be applied by compilation to an overall work. See section II - F: “Modifying or Arranging AI-Generated Content”

Or you can also just skip to the conclusion of the actual report itself:

As described above, in many circumstances these outputs will be copyrightable in whole or in part—where AI is used as a tool, and where a human has been able to determine the expressive elements they contain. Prompts alone, however, at this stage are unlikely to satisfy those requirements.
https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-2-Copyrightability-Report.pdf

Edit: The article you linked does mention that the works can be copyrighted as a whole, but it does not mention this in the conclusion.

According to the U.S. Copyright Office, it absolutely can, but it depends on how much control the user exerts on the final product.

If a single prompt was used and they copy pasted the entire thing, then yes, as you have said, it is not copyrightable.

However, if multiple prompts were used and the end result is compiled/arranged with enough direction by the end user, then it can be copyrighted by compilation.

Generating content with AI is often an initial or intermediate step, and human authorship may be added in the final product. As explained in the AI Registration Guidance, “a human may select or arrange AI-generated material in a sufficiently creative way that ‘the resulting work as a whole constitutes an original work of authorship.’”¹²⁶ A human may also “modify material originally generated by AI technology to such a degree that the modifications meet the standard for copyright protection.”¹²⁷

As several commenters noted, human authors should be able to claim copyright if they select, coordinate, and arrange AI-generated material in a creative way.¹²⁸ This would provide protection for the output as a whole (although not the AI-generated material alone).¹²⁹ A relatively common scenario in registration applications is the combination of human-authored text with AI-generated images. In one early case, for instance, the Office found that the selection and arrangement of AI-generated images with human-authored text in a comic book were protectable as a compilation.

https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-2-Copyrightability-Report.pdf

knowingly, intentionally continue to fund neo-Nazis in Sweden.

Am I understanding you correctly that you’re accusing anyone who continues to use Mullvad as someone who supports neo-Nazis in Sweden?

Looks like someone is already asking them for clarification in this thread here: https://codeberg.org/Codeberg/Community/issues/2929

Maybe the banner will be updated to more closely match what Defnulls said. Unless that banner changes it’s certainly not a stretch to say that “Cryptocurrency projects are no longer allowed.”

If that’s supposed to be the correct interpretation, why does the top of the site now state, “Cryptocurrency projects are no longer allowed. View change”?

I’m wondering if there’s some grace period for projects to migrate, or if they just start locking projects down immediately after their community votes to ban something.

It’s a little hard to argue that when the top of the site now says, “Cryptocurrency projects are no longer allowed. View change”.

For “AI editing”, I don’t have much of a problem if a model was trained to tweak the settings in something like Darktable to achieve a good baseline to start with. However, for contributing to research like this, I draw the line when models start generating their own pixels and overwriting the original image.

Hopefully iNaturalist and other similar groups start to look at the metadata of submitted images to help warn/educate end users about this problem. That would at least help with the AI literacy issue. Those metadata tags are already being placed there by the most popularly used tools.

A lot of users here seem to be under the misconception that these are 100% AI generated images.

The problem isn’t really with that as the article states that this is an issue with using AI in the editing process:

Outright hoaxes remain rare and are often easy to spot, said Lees – nobody is falling for a toucan sighting in Siberia – but he says birders often use AI to edit and improve an image, and the algorithm can then introduce parts from different bird species to create the new image.

It’s also worth noting that some phones allow you to zoom in beyond your camera’s normal capabilities by using AI to enhance the picture. With some algorithms this might not be an issue, but if it’s using a model that’s been trained by some animal/object database then this can introduce innaccuracies that would cause problems for researchers trying to keep their database clean.

It works at full resolution, but it’s a cat and mouse game. If something like this becomes popular, then all that needs to be done is to start passing images through a filter first (blur, lower resolution, etc.), or just train a new vision model that can pick out both the blurred message as well as the decoy message.