From reading the article and watching the video, it didn't sound like they were refusing the option of having a union. It was more that they wanted to have an official vote on the matter, and didn't want to be pressured into a decision on the spot:
[W]e believe a secret-ballot election conducted by the National Labor Relations Board is the appropriate path forward. This process protects individual choice and ensures that any outcome reflects the collective will of those eligible to participate.
I wonder what the results would have looked like if they added questions to see the difference in acceptance between banning smartphones vs banning dumb phones.
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 RCSās 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.
The title of this post is incredibly misleading and I can tell you didn't read how it's actually being used. The dev mostly isn't using the LLM for code generation. There wouldn't be any "potentially unattributed plagiarism landmines" to worry about.
Edit: The dev does use the code in some cases, see below.
Vibe coding would be having the LLM generate most of the code for him.
In this case, he's not doing that. This is mostly him using the LLM in ways to write up reports on xfwm4, scan for issues, and help with pseudo-code.
Itās easily saved me months of time, not in writing code (for non-trivial things, I can usually write it just as fast or faster), but in tracking down problems and helping me figure out solutions, whether thatās in Claude reading and reasoning about my code to find something thatās wrong, or in adding tons of targeted debugging prints to gather the information we need, and then sifting through the log file for me to do analysis.
The dislikes were great at telling me quickly if a tutorial was good or not.
Now you generally have to check the top comments to see if there's something wrong about the tutorial, but then YouTube started hiding those comments below ads/recommendations.
Now I just use GrayJay and I can quickly check comments for any video.
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. āSensitive 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,ā 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.
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.
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.
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 completelypractically 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:
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, āa human may select or arrange AI-generated material in a sufficiently creative way that āthe resulting work as a whole constitutes an original work of authorship.āāĀ¹Ā²ā¶ A human may also āmodify material originally generated by AI technology to such a degree that the modifications meet the standard for copyright protection.āĀ¹Ā²ā·
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.Ā¹Ā²āø This would provide protection for the output as a whole (although not the AI-generated material alone).Ā¹Ā²ā¹ 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.
It's worth pointing out that, unfortunately, it looks like using LLMs for SEO is the best option that websites have today and is likely here to stay.
From reading the article and watching the video, it didn't sound like they were refusing the option of having a union. It was more that they wanted to have an official vote on the matter, and didn't want to be pressured into a decision on the spot:
I wonder what the results would have looked like if they added questions to see the difference in acceptance between banning smartphones vs banning dumb phones.
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.
The title of this post is incredibly misleading and I can tell you didn't read how it's actually being used. The dev mostly isn't using the LLM for code generation. There wouldn't be any "potentially unattributed plagiarism landmines" to worry about.
Edit: The dev does use the code in some cases, see below.
Vibe coding would be having the LLM generate most of the code for him.
In this case, he's not doing that. This is mostly him using the LLM in ways to write up reports on xfwm4, scan for issues, and help with pseudo-code.
I think you meant LLM tools?
If you're meaning all AI tools then that also includes anything ML related. Accessibility tools such as Speech to Text models, Text to Speech models. Research tools such as those used to virtually unravel and read heavily damaged or incredibly fragile ancient scrolls, tools to help detect exoplanets, or tools for discovering cures to diseases. And more.
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/
The dislikes were great at telling me quickly if a tutorial was good or not.
Now you generally have to check the top comments to see if there's something wrong about the tutorial, but then YouTube started hiding those comments below ads/recommendations.
Now I just use GrayJay and I can quickly check comments for any video.
On Android, SherpaTTS pulls in a number of different Piper and Coqui voice models. They definitely sound a lot better than this.
https://github.com/woheller69/ttsengine
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.
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
It's a cat and mouse game.
The more popular something is, the more likely tools will be made to circumvent it.
In this case the author is advertising their tool as a method to circumvent Anubis:
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
completelypractically 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:
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.
https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-2-Copyrightability-Report.pdf