Kata1yst

I like looking at butts more than heart shapes anyway.

Yes…? All are except Microsoft, which is why most companies I work with aren’t looking that way.

I know several large companies looking to Microsoft, Xen, and Proxmox. Though the smart ones are more interested in the open source solutions to avoid future rug-pulls.

2009 era was also when Intel leveraged their position in the compiler market to cripple all non-Intel processors. Nearly every benchmarking tool used that complier and put an enormous handicap on AMD processors by locking them to either no SSE or, later, back to SSE2.

My friends all thought I was crazy for buying AMD, but accusations had started circulating about the complier heavily favoring Intel at least as early as 2005, and they were finally ordered to stop in 2010 by the FTC… Though of course they have been caught cheating in several other ways since.

Everyone has this picture in their heads of AMD being the scrappy underdog and Intel being the professional choice, but Intel hasn’t really worn the crown since the release of Athlon. Except during Bulldozer/Piledriver, but who can blame AMD for trying something crazy after 10 years of frustration?

It’s a tough pivot to make, but what else are fans of the genre gonna play hahahah

Sins of a Solar Empire 1

And hey, we get to hope Sins 2 remains great.

Dishonor on you! Dishonor on your cow!

They even literally have a section of the article that says they “see Fair Software as an alternative model to the free and open source software model”, and they think it’s superior because the “developers can profit”.

Newsflash: the developers usually see fractions of those cents while most of the money goes to the management and shareholders of the company that employs them. Hmm, doesn’t seem fair to me.

Also, developers can and do profit from FOSS in many ways, but the most popular models are with commercial support, SaaS offerings, and additional functionality (like providing a web interface, clustering manager or other external piece of the puzzle to solve the problem at scale in enterprise).

Like you said so succinctly: propaganda website to make rug pullers like Elastic and Hashicorp look better.

I host my own to avoid running into timeouts, fairly easy

deleted by creator

MRSA infection following hospital admittance for Pneumonia. That shit is serious and way more prevalent than people think, it’s just that it usually kills people who are already terminally ill.

Unlikely to be an assassination. But not impossible. Either way, looks very bad.

https://www.reuters.com/business/aerospace-defense/glass-lewis-recommends-investors-vote-against-three-boeing-directors-2024-04-30/

The recommendation to shareholders from the independent advisor who proxies Boeing is to vote out several board members who are responsible for safety and QA. Crazy to see at a Fortune 100.

Accurate, but not bad, yes. It turns out standardized base systems and ABIs are important to an ecosystem.

Linux tried the disorganized free-for-all for two decades, and what we got was fragmented “Ubuntu admins”, “debian admins”, “redhat admins”, “suse admins”, and a whole shitload of duplicated effort in the packaging ecosystem, only for half the packages out there to be locked to Ubuntu or RHEL. So the corporate interests, and a fair number of the community efforts, centralized their problems and solutions into a small standardized suite in Mesa+Wayland+systemd+Pipewire+flatpak, etc

The result is a ton more interoperability, a truly open ecosystem where switching your distro doesn’t mean hiring different people and using different software, and a lot more stability and maturity.

And hey, if a user or distro wants to do their own thing, they can make and own their niche, same as before. Nothing lost.

It’s been kind of wild to watch over the past 15 years or so, makes me very hopeful for the next 15.

No no you don’t understand. The evil corporate overlords abused their power to force a choice on a developer, even though that choice was objectively the right choice and the developer was throwing a tantrum.

This is truly awful. We must not let evil corporations, no matter their credentials, expertise, and decades of beneficial partnership with open source, tell immature and short sighted developers how to develop.

I use FreshRSS. Can’t say I love the interface, but with the open and standardized API, there are dozens of beautiful front ends to choose on any device.

For real? Damn it that’s going to be painful.

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.

https://github.com/Genymobile/scrcpy

My favorite city builder in decades. A few notes.

Pros:

• Easy mode is relaxing and quite easy.
• Medium mode is a fun challenge at first, eventually becoming fairly chill as you advance in skill and confidence.
• Hard mode is always fairly hard, especially on harder maps.
• There are many resources to manage, but none that feel burdensome.
• The game is extremely thematic, it feels alive with charm.
• Graphics are excellent, though sometimes graphical glitches can still be encountered.
• The water. It’s so hard to explain to someone who hasn’t encountered this system before, but water is life in this game, and it’s both beautiful graphically, and extremely well simulated by physics. Learning to control the water, and see the shortest paths to end water scarcity with beaver engineering is an amazingly fun and unique aspect of the game.
• Mods are well supported and the community is vibrant.

Cons:

• Not a ton of content. They’ve been very good about adding new mechanics (badwater, extract, etc) but there’s still just 2 races of beaver and a dozen or so maps.
• No directed experience. In similar games I’ve enjoyed a campaign, challenge maps/scenarios, weekly challenges, a deeper progression system, just… Something to optionally set your goals. There’s nothing of the sort in the vanilla game. It’s fully open ended and there’s only one unlock outside of your progress though the resource tree in a map.

All in all, I highly recommend it, especially at the modest asking price. If you love city builders, charming and beautiful art, thematic settings, dynamic challenge, and solution engineering, this is a fantastic game for you.

Other games I’ve enjoyed that scratch similar itches:

• KSP
• Cities: Skylines (but Timberborn has been far more compelling)
• Factorio
• Mindustry
• Planet Zoo (Timberborn has less of a directed experience, but is otherwise completely superior)
• Gnomoria
• Banished
• Tropico series (though I view this as more casual)

Get it and have fun is my recommendation.

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.