Further, “Whether another user actually downloaded the content that Meta made available” through torrenting “is irrelevant,” the authors alleged. “Meta ‘reproduced’ the works as soon as it made them available to other peers.”

Is there existing case law for what making something “available” means? If I say “Alright, I’ll send you this book if you want, just ask,” have I made it available? What if, when someone asks, I don’t actually send them anything?

I’m thinking outside of contexts of piracy and torrenting, to be clear - like if a software license requires you to make any changed versions available to anyone who uses the software. Can you say it’s available if your distribution platform is configured to prevent downloads?

If not, then why would it be any different when torrenting?

Meta ‘reproduced’ the works as soon as it made them available to other peers.

The argument that a copyrighted work has been reproduced when “made available,” when “made available” has such a low bar is also perplexing. If I post an ad on Craigslist for the sale of the Mona Lisa, have I reproduced it?

What if it was for a car?

I’m selling a brand new 2026 Alfa Romeo 4E, DM me your offers. I’ve now “reproduced” a car - come at me, MPAA.

Do you mean like a FOSS version of https://soundiiz.com/transfer-playlist-and-favorites?

Or at a song/album level, a FOSS version of https://odesli.co/?

It doesn’t read like AI to me, but their takeaways about copyright made me think the author had read an AI summary rather than the actual source material.

They didn’t say it was a Linux problem; they said it was a mobile problem

It’s okay, the author of the article didn’t actually read (or understand) the Copyright Office’s recommendations. They are:

Based on an analysis of copyright law and policy, informed by the many thoughtful comments in response to our NOI, the Office makes the following conclusions and recommendations:

• Questions of copyrightability and AI can be resolved pursuant to existing law, without the need for legislative change.
• The use of AI tools to assist rather than stand in for human creativity does not affect the availability of copyright protection for the output.
• Copyright protects the original expression in a work created by a human author, even if the work also includes AI-generated material.
• Copyright does not extend to purely AI-generated material, or material where there is insufficient human control over the expressive elements.
• Whether human contributions to AI-generated outputs are sufficient to constitute authorship must be analyzed on a case-by-case basis.
• Based on the functioning of current generally available technology, prompts do not alone provide sufficient control.
• Human authors are entitled to copyright in their works of authorship that are perceptible in AI-generated outputs, as well as the creative selection, coordination, or arrangement of material in the outputs, or creative modifications of the outputs.
• The case has not been made for additional copyright or sui generis protection for AI- generated content.

Pretty much everything the article’s author stated is contradicted by the above.

Every system in an RPG should be designed and tailored to max the possible immersion you can get from the game.

Having to deal with inventory management doesn’t always improve immersion. Inventory optimization doesn’t immerse me; rather, it gives me a puzzle to solve.

A paid skillful engineer, who doesn’t think it’s important to make that sort of a change and who knows how the system works, will know that, if success is judged solely by “does it work?” then the effort is doomed for failure. Such an engineer will push to have the requirements written clearly and explicitly - “how does it function?” rather than “what are the results?” - which means that unless the person writing the requirements actually understands the solution, said solution will end up having its requirements written such that even if it’s defeated instantly, it will count as a success. It met the specifications, after all.

I can’t use signal.

Why? Do you not have a phone number? Is it blocked in your country? Are you legally prohibited from using software with end to end encryption?

You can use a controller. I got further in Dead Cells on my phone with the Backbone One than I did on my Steam Deck. Maybe the same would be true with Hades - it’s a shame the Netflix version doesn’t (or didn’t; I haven’t checked in months) support cross-save.

No. Trickle down economics refers to things that benefit the wealthy (mostly government policies, particularly related to taxes and subsidies) that will allegedly benefit everyone by “trickling down.” Supply-side economics are an example of trickle-down economics. Trickle-down economic policies have been shown to effectively increase income inequality and studies suggest a link between them and reduced overall growth.

Giving the wealthy tax breaks in the hopes that they’ll spend the extra money they have available on security details, on the other hand, would be an example of trickle down economics.

Wouldn’t be a huge change at this point. Israel has been using AI to determine targets for drone-delivered airstrikes for over a year now.

https://en.m.wikipedia.org/wiki/AI-assisted_targeting_in_the_Gaza_Strip gives a high level overview of Gospel and Lavender, and there are news articles in the references if you want to learn more.

This is at least being positioned better than the ways Lavender and Gospel were used, but I have no doubt that it will be used to commit atrocities as well.

For now, OpenAI’s models may help operators make sense of large amounts of incoming data to support faster human decision-making in high-pressure situations.

Yep, that was how they justified Gospel and Lavender, too - “a human presses the button” (even though they’re not doing anywhere near enough due diligence).

But it’s worth pointing out that the type of AI OpenAI is best known for comes from large language models (LLMs)—sometimes called large multimodal models—that are trained on massive datasets of text, images, and audio pulled from many different sources.

Yes, OpenAI is well known for this, but they’ve also created other types of AI models (e.g., Whisper). I suspect an LLM might be part of a solution they would build but that it would not be the full solution.

Both devices have integrated memory, so that 16 GB will look more like a 11/5, 12/4, or maybe even 14/2 split. The Steam Deck is also $400 for an LCD model or $550 for the OLED, not $800. It’s reasonable to expect more performance when you pay more.

Because the Steam Deck has a lower native resolution, that means that less of the RAM will be used for the integrated GPU. Downscaling from 1080p to 720p doesn’t look good, either - and you could downscale to 540p if supported, but if you need to do that (vs choosing to for an emulated game) it probably won’t be pretty, either.

This device is also running Windows, rather than a streamlined Linux-based launcher, meaning that more of that RAM will be taken up by OS processes by default.

The article talks about how the 8840U benefits from more, fast RAM. You won’t get near the 8840U’s full potential gaming with 16 GB. 24 GB, on the other hand, would have been enough that games expecting 16 GB of system RAM would have been able to get it, even while devoting 6-7 GB to the GPU and 1-2 GB to the OS.

Unless something has changed, it did. The page linked reads:

And, obviously, this POC is open source, the code is publish here on our forge.

The link takes you to their repos. The server repo has instructions on self-hosting directly on your server or with Docker. The app repo has code for both the iOS and Android apps. That’s good, because the iOS app at least doesn’t have a built-in way to select a different backend server.

Whisper is by OpenAI and as far as I know they have not shared the training code, much less the data sets, so the best you can do is fine-tune the models they’ve provided.

If use of Whisper is a problem, but the project is otherwise interesting to you, you could ask them to consider using a different STT solution (or allowing the user to choose between different options). I’m not aware of any fully open STT applications that are considered to be as capable as Whisper, but if you do, that would be great info to share with them.

What else have you tried?

Realistically, no LLM that’s large enough to be competitive will be able to remain open-source, even if it was initially (and most that claim to be weren’t actually, as you point out), because so much training data is needed.

Often the training data can’t be re-distributed in the first place, but even if it can be, its availability makes it much more likely that someone will request the takedown of some data in the set (even if the data was licensed, someone who holds copyright might claim that the person who submitted it to the set wasn’t permitted to do so). At that point, unless the takedown request is refused or the model itself is re-trained (which would be quite expensive) the data is no longer sufficient to generate the model.

Just don’t use Ubuntu. They do too much invisible fuckery with the system that hinders use on a server.

Would that warning also apply to Mint, since it’s based on Ubuntu, as well as other Ubuntu-based distros?

Depends on your perspective. Would it be fine for Meta Threads to replace it? Threads supports ActivityPub, so in some ways it likely interacts better with the fediverse.

If we agree that Threads isn’t a suitable replacement, then clearly there’s some criteria a replacement should meet. A lot of the things that make Threads unpalatable are also true of Bluesky, particularly if your concern relates to the platform being under the control of a corporation.

On the other hand, from the perspective of “Twitter 2.0 is now a toxic, alt-right cesspool where productive conversations can’t be had,” then both Threads and Bluesky are huge improvements.

As it is, you only see new comments if you scroll past the post again (and your client has refreshed it) or if you open it directly. If your client hasn’t updated the comment count or if you refresh your feed and the post falls off, you’ll never see it anyway.

A “Watch” feature would solve this better. If you watch a post, you get aggregated notifications for edits and comments on the post. If you watch a comment, you get aggregated notifications for replies to it or any of its children.

By aggregated notifications, I mean that you’d get one notification that said “The post you watched has been edited; 5 new comments” rather than a notification for each new comment.

Then, in addition to exposing a “Watch” action on posts and comments, clients could also enable users to automatically hide posts that are watched, either by marking them as hidden or by hiding watched posts without updates.

If the latter approach were taken, notifications might not even be necessary - the post could just get added back into the user’s feed when changes were made. It would result in a similar experience to forums, where new activity in a topic would bump it to the front, but it would only impact the people who were watching it.

You can kinda get that behavior by sorting your feed by Active, but this could be used with other sorting methods.

That isn’t what it means at all.

The way to do this is to use a mailing list that only allows a limited number of people to send emails to it. You could do this automatically when someone clicked a “Prohibit Reply All” button, but such a feature is unnecessary if you use mailing lists configured that way by default.