The moment that shocked me was when printers, network cards, and even motherboard integrated Ethernet didn’t work on Windows without driver downloads but Linux was plug and play. Full reversal of the situation.
The moment that shocked me was when printers, network cards, and even motherboard integrated Ethernet didn’t work on Windows without driver downloads but Linux was plug and play. Full reversal of the situation.
Have you tried recent models? They’re not perfect no, but they can usually get you most of the way there if not all the way. If you know how to structure the problem and prompt, granted.
Them using Google indexes anonymously isn’t intending to solve the problem you think it is. It’s more about incentive structures. Google’s “free” search optimizes for ad revenue now. The API access doesn’t as much, and Kagi certainly doesn’t have an ad incentive. So privacy is a nice bonus, but the real benefit is a customer serving incentive structure.
Wonder how we should interpret the country “XD” being on the list. As far as I can tell its never been used for any real country.
Codeberg is run off of donations, they have no service contract revenue. Nobody, much less a volunteer, wants to commit to a 5 or 10 year service plan like that, it’s not sustainable for a small project from a non profit.
CLAs can be abusive, but not necessarily. Apache Foundation contributors need to sign CLAs, which essentially codify in contract form the terms of the Apache 2.0 license. It’s a precaution, in case some jurisdiction doesn’t uphold the passive licensing scheme used otherwise. There’s also a relicensing clause, but that’s restricted to keeping in spirit, they can’t close the source.
This must be pandering to shareholders, no company in their right mind would want to compete when Meta is selling their first party headset at a giant loss.
Have you used it recently? Previous versions I would’ve agreed, but 5.0 was a huge improvement. If I didn’t know, I’d likely have assumed it to be a native feature.
I’ll take a look at Vivaldi’s approach though, I’ve heard good things about those features previously.
If you want vertical tabs with the ability to organize them in trees I suggest the Sideberry extension. It legitimately makes me nervous that the functionality would ever go away, it improves my productivity so much.
You can bookmark trees, collapse them, search them, load/unload them manually, I could go on. It makes it easy to organize dozens or hundreds of tabs. I have some trees for emails, news, forums, projects, etc. When I’m done just fold it up: the top tab bar can hide tabs that aren’t in the active tree you’re using, so you can still navigate the tabs normally.
GNOME always seemed like an odd choice considering how little customization is available. It feels like a prescriptive approach, you will use your computer the way GNOME feels is appropriate, whereas KDE tries to accommodate however you want to use your computer.
The idea that “it’s ok cause we’d do the same” is ridiculous. There is no comparison: China is an authoritarian government and the parent company is practically an arm of the state. There are legitimate criticisms of American tech companies obviously, but they’re ultimately subject to the market and democratic governments. We shouldn’t be doing any business with authoritarians in the first place, much less inviting them to control a significant social media app in the guise of a legitimate business.
It’s not really special treatment. Generally, it’s understood that the defendant will use a bond company and put up a fraction of the cash. They are trying to balance the defendants appeal rights with not postponing the judgement forever. He’s actually tying up significantly more money this way than he would with a bond.
The actual judgement, should he lose appeal, isn’t reduced.
3 or 4 years, including on Nvidia machines. I’ll admit it took fiddling to get working awhile ago. Nowadays I use my desktops AMD iGPU as the main display driver and offload the rendering to the Nvidia card for intense programs or games, best of both worlds.
This is almost entirely misdirected. The success of Wikipedia is from its human structures, the technical structure is close to meaningless. To propose a serious alternative you’d have to approach it from a social direction, how are you going to build a moderation incentive structures that forces your ideal outcomes?
Federation isn’t a magic bullet for moderation, alone it creates fractal moderation problems.
It runs great now. Most importantly, it supports extensions like ublock.
So this is probably another example of Google using too blunt of instruments for AI. LLMs are very suggestible and leading questions can severely bias responses. Most people using them without knowing a lot about the field will ask “bad” questions. So it likely has instructions to avoid “which is better” and instead provide pros and cons for the user to consider themselves.
Edit: I don’t mean to excuse, just explain. If anything, the implication is that Google rushed it out after attempting to slap bandaids on serious problems. OpenAI and Anthropic, for example, have talked about how alignment training and human adjustment takes a majority of the development time. Since Google is in a self described emergency mode, cutting that process short seems a likely explanation.
Arch for stuff I have physical access to. Nothing’s ever gone wrong, so it’s worth it for the immediate updates and consistency with my other systems. For VPS I use Debian though, occasionally the unstable/Sid branch if I really need the latest updates. There are almost always Debian images available on a VPS.
If I’m understanding this right, and this basically an API that lets you pick which app store administers an app, that could be quite helpful, not harmful. I currently have fdroid, play store, and Samsung store, and I assume they try to update apps by the fully qualified name, as multiple stores show and try to update a single app instance, sometimes with weird results.
Compression is actually a mathematical field that’s fairly well explored, and this isn’t compression. There are theoretical limits on how much you can compress data, so the data is always somewhere, either in the dictionary or the input. Trained models like these are gigantic, so even if it was perfect recall the ratio still wouldn’t be good. Lossy “compression” is another issue entirely, more of an engineering problem of determining how much data you can throw out while making acceptable compromises.
For people lacking context, Boeing split off and sold their division that became Spriti Aerosystems. The theory at the time was that Boeing’s core competency wasn’t building airplanes, it was managing relationships with other vendors. In particular, the actual plane manufacturing part of the company was undesirable due to perceived poor “Return on Net Assets.” The theory they pitched to shareholders was they should sell off non obviously profitable divisions so they reduced asset liability while keeping the same or better profits.
That was their explanation, of course it was a terrible idea.