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.

Well this is a tremendous step in the wrong direction. The economic problem is the ad supported model in the first place, no matter how it's run. This is the same thing Google does, they keep user data to themselves and sell the ad placement. So now Mozilla has the same economic incentives as Google. Unfathomably bad move.

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.

Note the versions, none of the results give you the official operators page for the current version, 16. They give 9, which went EOL in 2021.

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.

After doing some Meta/Facebook VR development in my job the lack of popularity made increasingly more sense. In brief, they're both incredibly incompetent and transparently greedy.

I'm honestly baffled how they could spend so many tens of billions of dollars and have such bad software, it is completely bug ridden. You'll hit a bug, research it, and find out it's a major know bug for literal years they haven't fixed. They care so little that they couldn't bother to update the Oculus branding to Meta for over 3 years in various software tools and libraries.

Their greed might be more salient aspect preventing adoption, though. They transparently wanted to be the gatekeepers to everything "metaverse" related, a business model that is now explicitly illegal in the EU after years of being merely very sketchy. They are straight up hostile to anyone else trying to implement enterprise or business features. Concrete example: fleet management software, aka MDM. There are third party tools that are cheaper and much more featured than Meta's solution, but in the last year they've pushed hard to kick those third parties out of the ecosystem.

I could go on, but in short nobody in their right mind would build a major business on their ecosystem. They'd rather let Meta burn billions in R&D and come back later. Besides, not even Meta is able to make money in the area now.

Don't get too excited, this is a pretty fringe theory that doesn't really have experimental evidence. They were able to make some observations fit with their theory without dark matter yes, but not all of them. The tired light part in particular has a lot of contradictions with observation that they don't explain.

So interesting, but far from definitive.

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.

This is a classic problem for machine learning systems, sometimes called over fitting or memorization. By analogy, it's the difference between knowing how to do multiplication vs just memorizing the times tables. With enough training data and large enough storage AI can feign higher "intelligence", and that is demonstrably what's going on here. It's a spectrum as well. In theory, nearly identical recall is undesirable, and there are known ways of shifting away from that end of the spectrum. Literal AI 101 content.

Edit: I don't mean to say that machine learning as a technique has problems, I mean that implementations of machine learning can run into these problems. And no, I wouldn't describe these as being intelligent any more than a chess algorithm is intelligent. They just have a much more broad problem space and the natural language processing leads us to anthropomorphize it.

This was true maybe 10 years ago, nowadays Linux has better driver support than Windows. Printers, networking, input devices, everything I've tried is plug n play with Linux, Windows you gotta driver hunt.

People complaining about the promotion of FOSS on a FOSS powered site. Lemmy amd Mastodon are a golden opportunity to get people onboard with FOSS, no shit they're going to evangelize it. Not to mention the early adopters were obviously FOSS devs.