If you're trying to use it as a workstation or a laptop, you won't find much compelling. It's built with the intent to act as a server. In fact, as a web server or networking server it's second to none.
Administrating BSD is lovely. It's well documented and everything is very stable, understandable, and predictable.
“We had a huge chunk of our engineering staff spending time improving FreeBSD as opposed to working on features and functionalities. What’s happened now with the transition to having a Debian basis, the people I used to have 90 percent of their time working on FreeBSD, they’re working on ZFS features now … That’s what I want to see; value add for everybody versus sitting around, implementing something Linux had a years ago. And trying to maintain or backport, or just deal with something that you just didn’t get out of box on FreeBSD.”
I still hold much love for FreeBSD, but this is very much indicative of my experience with it as well. The tooling in FreeBSD, specifically dtrace, bhyve, jails, and zfs was absolutely killer while Linux was still experiencing teething problems with a nonstandard myriad of half developed and documented tools. But Linux has since then matured, adopted, and standardized. And the strength of the community is second to none.
They'll be happier with Linux.
I was actually surprised to find out QUIC is fairly close to being default.
Wikipedia
HTTP/3 uses QUIC, a multiplexed transport protocol built on UDP.
HTTP/3 is (at least partially) supported by 97% of tracked web browser installations (thereof of 98% of "tracked mobile" web browsers), and 29% of the top 10 million websites.
Never ask a man his pay, a woman her weight, or a data horder the contents of their stash.
Jk. Mostly.
I have a similar-ish set up to @Davel23 , I have a couple of cool use cases.
I seed the last 5 arch and opensuse (a few different flavors) ISOs at all times
I run an ArchiveBot for archive.org
I scan nontrivial mail (the paper kind) and store it in docspell for later OCR searches, tax purposes etc.
I help keep Sci-Hub healthy
I host several services for de-googling, including Nextcloud, Blocky, Immich, and Searxng
I run Navidrome, that has mostly (and hopefully will soon completely) replace Spotify for my family.
I run Plex (hoping to move to Jellyfin sometime, but there's inertial resistance to that) that has completely replaced Disney streaming, Netflix streaming, etc for me and my extended family.
I host backups for my family and close friends with an S3 and WebDAV backup target
I run 4x14TB, 2x8TB, 2x4TB, all from serverpartsdeals, in a ZFS RAID10 with two 1TB cache dives, so half of the spinning rust usable at ~35TB, and right now I'm at 62% utilization. I usually expand at about 85%
You found one video supporting your viewpoint. Kaspersky's role in Russian intelligence has been an open secret since the mid 2010s. This is Facebook Anti-Vaxxer "research" methodology.
Quora is a lawless and godless place.
Quora is trash, but this thread has a breakdown of many of Lucas' "inspirations", which show he was always happy to directly copy other's art. Most of it is hilariously blatant.
https://www.quora.com/Is-it-true-that-Star-Wars-copied-an-old-French-comic
Author doesn't seem to understand that executives everywhere are full of bullshit and marketing and journalism everywhere is perversely incentivized to inflate claims.
But that doesn't mean the technology behind that executive, marketing, and journalism isn't game changing.
Full disclosure, I'm both well informed and undoubtedly biased as someone in the industry, but I'll share my perspective. Also, I'll use AI here the way the author does, to represent the cutting edge of Machine Learning, Generative Self-Reenforcement Learning Algorithms, and Large Language Models. Yes, AI is a marketing catch-all. But most people better understand what "AI" means, so I'll use it.
AI is capable of revolutionizing important niches in nearly every industry. This isn't really in question. There have been dozens of scientific papers and case studies proving this in healthcare, fraud prevention, physics, mathematics, and many many more.
The problem right now is one of transparency, maturity, and economics.
The biggest companies are either notoriously tight-lipped about anything they think might give them a market advantage, or notoriously slow to adopt new technologies. We know AI has been deeply integrated in the Google Search stack and in other core lines of business, for example. But with pressure to resell this AI investment to their customers via the Gemini offering, we're very unlikely to see them publicly examine ROI anytime soon. The same story is playing out at nearly every company with the technical chops and cash to invest.
As far as maturity, AI is growing by astronomical leaps each year, as mathematicians and computer scientists discover better ways to do even the simplest steps in an AI. Hell, the groundbreaking papers that are literally the cornerstone of every single commercial AI right now are "Attention is All You Need" (2017) and
"Retrieval-Augmented Generation for Knowledge -Intensive NLP Tasks" (2020). Moving from a scientific paper to production generally takes more than a decade in most industries. The fact that we're publishing new techniques today and pushing to prod a scant few months later should give you an idea of the breakneck speed the industry is going at right now.
And finally, economically, building, training, and running a new AI oriented towards either specific or general tasks is horrendously expensive. One of the biggest breakthroughs we've had with AI is realizing the accuracy plateau we hit in the early 2000s was largely limited by data scale and quality. Fixing these issues at a scale large enough to make a useful model uses insane amounts of hardware and energy, and if you find a better way to do things next week, you have to start all over. Further, you need specialized programmers, mathematicians, and operations folks to build and run the code.
Long story short, start-ups are struggling to come to market with AI outside of basic applications, and of course cut-throat silicon valley does it's thing and most of these companies are either priced out, acquired, or otherwise forced out of business before bringing something to the general market.
Call the tech industry out for the slime is generally is, but the AI technology itself is extremely promising.
Used to be the best way to get performant graphics on Linux.
Like, 8 years ago.
I like kitty, but it's configuration system is completely nuts.
Alacritty was good, but had weird issues with fonts for me.
I ended up on Wezterm. Lots of modern features, performance, stability, and awesome configurability.
For real? Damn it that's going to be painful.