• 0 Posts
  • 105 Comments
Joined 2 years ago
cake
Cake day: July 7th, 2023

help-circle


  • 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.





  • 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.




  • 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.



  • 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.




  • We’ve implemented netbird at my company, we’re pretty happy with it overall.

    The main drawback is that it has no way of handling multiple different accounts on the same machine, and they don’t seem to have any plans for ever really solving that. As long as you can live with that, it’s a good solution.

    Support is a mixed bag. Mostly just a slack server, kind of lacking in what I’d call enterprise level support. But development seems to be moving at a rapid pace, and they’re definitely in that “Small but eager” stage where everything happens quickly. I’ve reported bugs and had them fixed the same day.

    Everything is open source. Backend, clients, the whole bag. So if they ever try to enshittify, you can just take your ball and leave.

    Also, the security tools are really cool. Instead of writing out firewall rules by hand like Tailscale, they have a really nice, really simple GUI for setting up all your ACLs. I found it very intuitive.



  • The key detail is that, like with rear brake lights, they extinguish when the foot is removed from the brake pedal. So it’s not so much the presence of the brake light, but the presence of an inactive brake light that would, serve as a warning that a car is about to start moving. This would be very helpful to drivers on a road when other drivers are pulling out too early from a side road or driveway. That little bit of extra warning is, in many situations, enough for you to pump the brakes, hit the horn, or both.



  • TD Cowen (which is basically the US arm of one of the largest Canadian investment banks) did an extensive report on the state of AI investment. What they found was that despite all their big claims about the future of AI, Microsoft were quietly allowing letters of intent for billions of dollars worth of new compute capacity to expire. Basically, scrapping future plans for expansion, but in a way that’s not showy and doesn’t require any kind of big announcement. The equivalent of promising to be at the party and then just not showing up. Not long after this reporting came out, it got confirmed by Microsoft, and not long after it came out that Amazon was doing the same thing.

    Ed Zitron has a really good write up on it; https://www.wheresyoured.at/power-cut/

    Amazon isn’t the big surprise, they’ve always been the most cautious of the big players on the whole AI thing. Microsoft on the other hand are very much trying to play things both ways. They know AI is fucked, which is why they’re scaling back, but they’ve also invested a lot of money into their OpenAI partnership so now they have to justify that expenditure which means convincing investors that consumers absolutely love their AI products and are desparate for more.

    As always, follow the money. Stuff like the three mile island thing is mostly just applying for permits and so on at this point. Relatively small investments. As soon as it comes to big money hitting the table, they’re pulling back. That’s how you know how they really feel.