I think this is a good suggestion. As a single user, you could still theme it while also providing cross-posting of other artists you like. Additionally, your network would act as a “web ring” of sorts.

cd .. && ls
!!
!!
!!
!!

But every time someone gets on their soapbox in the comments it’s like they don’t even know the first thing about the math behind it. Like just figure out what you’re mad about before you start an argument.

The math around it is unimportant, frankly. The issue with AI isn’t about GANN networks alone, it’s about the licensing of the materials used to train a GANN and whether or not companies that used materials to train a GANN had proper ownership rights. Again, like the post I made, there’s an easy argument to make that OpenAI and others never licensed the material they used to train the AI, making the whole model poisoned by copyright theft.

There’s plenty of uses of GANNs that are not problematic. Bespoke solution for predicting the outcomes of certain equations or data science uses that involve rough predictions on publically sourced statistics (or privately owned.) The problem is that these are not the same uses that we call “AI” today – and we’re actually sleeping on much better uses of neural networks by focusing on a pie in the sky AGI nonsense being pushed by companies that are simply pushing highly malicious, copyright infringing products to make a quick buck on the stock market.

See, I’m troubled by that one because it sounds good on paper, but in practice that means that Google and Meta, who can certainly build licenses into their EULAs trivially, would become the only government-sanctioned entities who can train AI. Established corpos were actively lobbying for similar measures early on.

As long as people are paying other people, these things will equalize eventually. Ultimately, it would be much more likely that the cost of AI production would become so severe that it would no longer be viable as a business (which, frankly, is fine. There will eventually be enough public domain content that AI will be at the quality it is today with public materials alone.)

What I want from AI companies is really simple.

We have a thing called intellectual property in the United States of America. If I decided to make a Jellyfin instance that I charged access to, containing material I didn’t own, somehow advertising this service on the stock market as a publicly traded company, you would bet your ass that I’d have a 1 way ticket to a defense seat in court.

AI companies, otherwise, operate entirely on data they don’t own and don’t pay licensing for ANY of the materials that are used to train their neural networks. So, in their eyes, any image, video (tv show/movie) or book that happens to be posted on the Internet is fair game in their eyes. This isn’t how intellectual property works for individuals, so why exactly would a publicly traded company have an exception to this rule?

I work a lot in the world of FOSS and have a firm understanding that just because code is there doesn’t make it yours. This is why we have the GPL for licensing. In fact, I’ll take it a step further and say that the entirety of AI is one giant licensing nightmare, especially coding AI that isn’t actually attributing license details with the code they’re sampling from. (Sampling code being notably different than, say, learning from. Learning implies self-agency, and not corporate ownership.)

It feels to me that the AI bubble has largely been about pushing AI so hard and fast that people were investing in something with a dubious legal state in the US. Nobody stopped to ask whether or not the data that Facebook had on their website (for example, they aren’t alone in this) was actually theirs to own, and what the repercussions for these types of decisions are.

You’ll also note that Tech and Social Media companies are quick to take ownership of data when it benefits them (artists works, intellectual property that isn’t theirs, random user posts about topics) and quick to deny ownership when it becomes legally burdensome (CSAM, illicit drug deals, etc.) to a degree that no individual would be granted. Hell, I’m not even sure a “small” tech startup would be granted this level of double-speak and hypocrisy.

With this in mind, I am simply asking that AI companies pay for the data that they’re using to train AI. Additionally, laws must be in place that allows for the auditing of all materials used to train an AI with the legal intent of verifying that all parties are paid accordingly. This is how every other business works. If this were somehow granted an exception, wouldn’t it be braindead easy to run every “service” through an AI layer in order to bypass any and all copyright laws?

Otherwise, if facebook and others want to claim that data hosted on their website is theirs to own and train off of – well, great, but there should be no exceptions to this and they should not be allowed to host materials they then have no ownership over. So pictures of IP they don’t own or materials they want to claim they have no ownership over must be removed from the platform. I would much prefer the first of these two options, however.

edit: I should note, that AI for educational purposes could be granted an exception for this under fair use (for university) but would still also be required to site all sources used to produce the works in question (which is normal for academics, in the first place.) and would also come with some strict stipulations on using this AI as a “product” (it would basically be moot, much like some research papers). This basically the furthest I’m willing to give these companies.

The mini rack is pretty decent, but I wish that the size decided was a 12" or so rack, so that more computer hardware could fit without the struggle.

I’m sure more stuff will be made the accommodate this scene though.

As long as there’s centralization and data brokering, there will always be a capitalization. It’s basically the only logical path forward for a service that isn’t decentralized or running as a charity.

The windows kernel isn’t all that great, particularly in the realm of memory security or scheduling.

You know, to each their own. Question is really whether windows maintaining a closed source kernel even makes sense from a maintenance burden perspective when it really doesn’t give them much money in return. (Most of their money in 2025 comes from cloud services, not operating systems)

Probably. In all honestly, if you are a hexbear user, I’d be keeping a careful eye on who owns the domain when it magically pops back up.

It is sad that they don’t at least have the courage to be honest about their stance: they legitimately thought that trump was better than harris for Gaza and now they have egg on their face. To which I say, enjoy the leopards – they have a thing for egged faces.

The best path forward is that developers make their linux drivers before they release their hardware to the market. You know, like what they do for windows.

There’s no silver bullet here. You have to wait for someone to reverse engineer the drivers if the developers of the hardware don’t care enough to supply even basic linux driver support. Either that or linux becomes so popular that it becomes senseless to ignore it (let’s be real though, MacOS is popular enough for this to be true and yet there’s still new hardware made that ignores that platform too.)

If there are any germans out there reading this, it’s not to late to enact strong policy. America failed to do so and I fear the repercussions of not taking the threat seriously have only just begun.

I mean, my issue is that most buttons on my huion are still non bindable, and some graphical interfaces cannot be interacted with in mouse mode and only register as touch. Lastly, occasionally programs completely ignore pen sensitivity, such as blender.

This experience was when I was last on gnome. I’ve been on budgie for a while as a result of needing a tablet for my hobbies.

The lack of proper tablet support in wayland prevents me from being excited for this. I wish there was more news on that front.

Centralization is a weakness

While I agree with the basic premise of this, I think this is all-the-more a good reason for design solutions around this problem to be discussed so that more competitors can exist. If the fediverse is to expand, there needs to be easy non-technical ways for users to start up a multitude of instances. More of these types of services actually reduces centralization, in that sense.

Corporate internet doesn’t even filter out “uncomfortable” shit for people. They have a vested interest in keeping people engaged whether it’s through love or hate.

This is a misconception I see all the time. Reddit et al try their hardest to make browsing feel like a roller coaster to keep up engagement.

Whatever reason they don’t isn’t a very good one when there’s already excuses being made around AT proto not being scalable beyond a single app.

ActivityPub works today and we are using it right now. There’s basically no incentive to make a new protocol if you aren’t willing to support more than 1 platform that uses it.

I’m not even a bluesky hater, but you have to question why they’re choosing to reinvent the wheel other than disliking the lack of agency that comes with making a (essentially) proprietary protocol. You have to wonder if they ever truly plan to federated at all or if it’s all just lip-service.

Make sure that any exit ventilation isn’t frozen over for the heater. My heater used to do a similar thing and I always thought the heater was broken, but it was actually as simple as the output pipe freezing over due to condensation build up which caused the heater to turn off automatically. Fixing this involves me installing a electrically warmed pipe extender before heavy snow or ice conditions.

It’s very strange that you’ve made a post about bugs but chose not to list any of the bugs.

Like, how can we make a recommendation if we don’t know what types of issues you’re running into? What type of hardware you have? What expectations you have?

It just kind of screams of disgruntled user syndrome. These are community lead projects so, yes, they’ll have bugs. But if people never say what they are or what issues they had with what they used, the best the rest of us can do is just guess!

I would use BTRFS and Snapper over using Timeshift due to the lack of granularity it has. You should be able to back up any volume you want, not just the home directories like Timeshift does.