Sandbar_Trekker, sandbar_trekker@piefed.zip
Instance: piefed.zip
Joined: 2 weeks ago
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Comments: 32
Posts and Comments by Sandbar_Trekker, sandbar_trekker@piefed.zip
Posts by Sandbar_Trekker, sandbar_trekker@piefed.zip
Comments by Sandbar_Trekker, sandbar_trekker@piefed.zip
You’re cutting out the important context with that quote:
Occasionally I’ll have it write more substantial code for me, usually for bug fixes, and occasionally for small features. I find it does a pretty decent job here, but I keep it on manual mode and often ask it to write the code in a different way, or take a different approach.
That doesn’t sound like someone who’s just blindly copying and pasting whatever an LLM told them to do. I agree there’s absolutely a risk with using LLM generated code that could cause some copyright issues. But the way he’s using it sounds like it minimizes that risk.
The Licensing Problem
It doesn’t sound like the way the dev is using the LLM would make this a high risk issue. He’s mostly using it for testing/brainstorming/pseudo code rather than generating code to use directly.
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.
It’s 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 that’s in Claude reading and reasoning about my code to find something that’s 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.
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.
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.
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.
You really should know by now how scrutinous people are about AI anything.
Well, we are on the Fediverse here where there’s a very loud echo chamber of anti-AI sentiment. Outside of this bubble, there’s a loud minority that’s anti-AI, but the vast majority of end users are more neutral on the subject.
For any AI Translations, it’s good practice to open up a different chat with the model, and have it translate the output back to your original language so that you can double check what is being said.
A copay is the amount that you pay for certain healthcare expenses. The rest is paid for by your insurance company.
RetroFed
You’re cutting out the important context with that quote:
That doesn’t sound like someone who’s just blindly copying and pasting whatever an LLM told them to do. I agree there’s absolutely a risk with using LLM generated code that could cause some copyright issues. But the way he’s using it sounds like it minimizes that risk.
It doesn’t sound like the way the dev is using the LLM would make this a high risk issue. He’s mostly using it for testing/brainstorming/pseudo code rather than generating code to use directly.
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
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:
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.
https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-2-Copyrightability-Report.pdf
Well, we are on the Fediverse here where there’s a very loud echo chamber of anti-AI sentiment. Outside of this bubble, there’s a loud minority that’s anti-AI, but the vast majority of end users are more neutral on the subject.
For any AI Translations, it’s good practice to open up a different chat with the model, and have it translate the output back to your original language so that you can double check what is being said.
A copay is the amount that you pay for certain healthcare expenses. The rest is paid for by your insurance company.