Aaaaand I just found my Wife’s birthday present, thank you!

This is really cool. I maintain a lot of systems that have to be worked on from time to time by far less experienced techs than myself (due to our relationship with the business partners that use the systems) and this sort of thing could be amazing for providing a kind of inline user manual.

My son has doubled in size every month for the last few months. At this rate he’ll be fifty foot tall by the time he’s seven years old.

Yeah, it’s a stupid claim to make on the face of it. It also ignores practical realities. The first is those is training data, and the second is context windows. The idea that AI will successfully write a novel or code a large scale piece of software like a video game would require them to be able to hold that entire thing in their context window at once. Context windows are strongly tied to hardware usage, so scaling them to the point where they’re big enough for an entire novel may not ever be feasible (at least from a cost/benefit perspective).

I think there’s also the issue of how you define “success” for the purpose of a study like this. The article claims that AI may one day write a novel, but how do you define “successfully” writing a novel? Is the goal here that one day we’ll have a machine that can produce algorithmically mediocre works of art? What’s the value in that?

I guess the value is that at some point you’ll probably hear the core claim - “AI is improving exponentially” - regurgitated by someone making a bad argument, and knowing the original source and context can be very helpful to countering that disinformation.

The key difference being that AI is a much, much more expensive product to deliver than anything else on the web. Even compared to streaming video content, AI is orders of magnitude higher in terms of its cost to deliver.

What this means is that providing AI on the model you’re describing is impossible. You simply cannot pack in enough advertising to make ChatGPT profitable. You can’t make enough from user data to be worth the operating costs.

AI fundamentally does not work as a “free” product. Users need to be willing to pony up serious amounts of money for it. OpenAI have straight up said that even their most expensive subscriber tier operates at a loss.

Maybe that would work, if you could sell it as a boutique product, something for only a very exclusive club of wealthy buyers. Only that model is also an immediate dead end, because the training costs to build a model are the same whether you make that model for 10 people or 10 billion, and those training costs are astronomical. To get any kind of return on investment these companies need to sell a very, very expensive product to a market that is far too narrow to support it.

There’s no way to square this circle. Their bet was that AI would be so vital, so essential to every facet of our lives that everyone would be paying for it. They thought they had the new cellphone here; a $40/month subscription plan from almost every adult in the developed world. What they have instead is a product with zero path to profitability.

Seconding this. Itzg’s server is so easy, I taught my 15 year old niece to run one.

What we’ve seen very clearly with fair use is that you end up being forced to defend it, as opposed to it being presumed. That means it’s very easy for a rightsholder with money to go after every use, fair or not, and force the user to spend time and money defending themselves (and also probably face a preliminary injunction that takes the image down until the case is over, which will often be after its newsworthy).

It’s not the standard because it will likely have a LOT of unintended consequences.

How do you share evidence of police brutality if they can use copyright to take down the video? How do newspapers print pictures of people if they have to get the rightsholders permission first? How do we share photos of Elon Musk doing a Nazi salute if he can just sue every site that posts it for unauthorized use of his likeness?

Unless this has some extremely stringent and well written limitations, it has the potential to be a very bad idea.

I mean, yeah, I’d show up with my pup for that.

Mr Grumpy knows what’s up.

Thanks, I didn’t know about that.

I love Seafile, but I’m not sure it really meets OP’s requirements. For example I’m not aware of any way to do upload without a login in Seafile.

Actually one of the characters in 1984 works in the department that produces computer generated romance novels. Orwell pretty accurately predicted the idea of AI slop as a propaganda tool.

There are, as I understand it, ways that you can train on AI generated material without inviting model collapse, but that’s more to do with distilling the output of a model. What Musk is describing is absolutely wholesale confabulation being fed back into the next generation of their model, which would be very bad. It’s also a total pipe dream. Getting an AI to rewrite something like the total training data set to your exact requirements, and verifying that it had done so satisfactorily would be an absolutely monumental undertaking. The compute time alone would be staggering and the human labour (to check the output) many times higher than that.

But the whiny little piss baby is mad that his own AI keeps fact checking him, and his engineers have already explained that coding it to lie doesn’t really work because the training data tends to outweigh the initial prompt, so this is the best theory he can come up with for how he can “fix” his AI expressing reality’s well known liberal bias.

The difference, you have to remember, is that the worse stuff is all hurting the people they want him to hurt. But betraying his made in America promises hurts the people who voted for him. That’s when they suddenly start to care.

Sorry, I meant “that and made in the US”, but I get that that’s not what I said.

Thing is, there’s going to be a lot of public attention on that “Made in the USA” claim, given how central it is to Trump’s domestic and foreign policy.

Sure, the FCC can turn a blind eye, but all it takes is for one worker at the assembly plant to call up a journalist. And let’s face, and journalist worth their salt is going to be hanging around every bar near that place. Even trying to screen specifically for MAGA friendly workers won’t help them much when one of those workers feels betrayed by how much of Trump’s product is actually coming from China.

My point is, there’s no good way to keep this under wraps. If they don’t actually build this thing in the US, word is going to get around, and it’s going to be seen as a total repudiation of Trump’s entire tariff strategy.

Except that they’re claiming Android 15, USB-C and 12GB of RAM.

No existing device has that combination of features, plus a headphone jack.

This thing is a fantasy, plain and simple. Nothing about it is real.

I mean, that’s exactly what makes it so “mid” to my mind. It’s not an atrocious disaster like Gollum. It’s not appalling bad, or even moderately bad. It’s just mid. The shooting isn’t dreadful, just dull. The map, the movement, the exploration… None of it is exactly bad, but none of it left any kind of impression on me. Like you said, it scratches that “running around and collecting stuff” itch, the numbers go up, you unlock new powers, etc. But it all just kind of passes straight through you and at the end you’re left with “Well, that sure did kill a few hours.”

Horizon: Zero Dawn suffers from all the usual modern open world hallmarks, the map littered with things to collect, the towers, the grinding to level up abilities, etc, etc. But the story is an absolute banger, and even a lot of the random collectible junk is full of little moments of deeply moving storytelling. I remember collecting every single one of the vantage points because I absolutely needed to hear all of the short story you unlock by doing it. It has zero relevance to the plot, but it’s just a great piece of writing. In comparison Ghost Wire is just, sort of… There.

Honestly, none that are all that great. I tried Kodi in various forms, LibreElec, OSMC, MythTV, Steam Big Picture, and KDE TV (or whatever its called), but you’re just never going to get a great experience with stuff like Netflix and YouTube on Linux.

In the end, I bought myself an Nvidia Shield, switched out the launcher for one without ads, installed Smart Tube Next for ad-free YouTube, and I couldn’t be happier with the results. I’ve got my apps for Nebula and Dropout. I’ve got Kodi and Jellyfin for my home library. It has barely any power consumption, it boots fast, it runs a huge variety of emulators, the included remote works great (plus there’s a remote app for your phone that controls the entire system), and the wife acceptance factor is exceptional.

I’m really big on self-hosting and building all my own stuff; I use lots of repurposed hardware salvaged from companies I and my friends work at and I try to avoid off the shelf products. But I’m genuinely kicking myself for not buying a Shield sooner. It really is the best TV solution for a self hoster.