Most of "Steam's Linux users" are almost certainly Steam Deck users at this point. Steam Machines running SteamOS aren't relevant yet due to RAM costs hitting those, and if you're a gamer on desktop, you boot into your windows partition even if you're a mainline linux user pretty much every time.

Microsoft knew exactly what it was doing when it allowed you to run windows even without a license in 10 and 11.

There are almost no exceptions to this outside the neckbeard crowd. Hence the main fluctuations in Linux users so far have been from Steam Deck adoption rate.

Unfortunately, "year of Linux on desktop" remains a meme in 2026.

It's an issue of battery capacity and charging/output speed. When battery was small, charging speed low and engine power low, you could do with cheaper air cooling.

As charging speeds and power go up, air eventually becomes insufficient.

Leafs from last 7-10 years are mostly ok. They had low power, low charge speeds, and so battery doesn't heat all that much in normal use patterns. Old Leaf's main problem was BMS. It was primitive and did a very poor job at maintaining the battery.

Margin of error is probably in the realm of 1-2%. This is no meaningful change in user base month to month. You're seeing fluctuations that are within the error margin.

Don't take the clickbait.

Well they'll skip the prison part and go straight to the lucrative government engagements phase.

He has a general lack of interest in anything if he's not able to sniff his way through what's happening here.
He probabky believes everything openAI did was correct because he doesn't understand much beyond the fact he can use an agent to clear a days worth of coding as if he'll even have a job much longer or make a livable wage if it proves to be able to do so competently.

He still defends the virtual dumbass trying to take his job because it saves him hassle today. A lot of tech workers can solve puzzles all day and still like to buy disposable plates and clothes and chug soylent thinking theyve discovered secret lifehax.

Smart and yet still dumb.

Dude this is a lot of bullshit to try and ignore what probably happened:
They don't take security seriously and probably want defense contracts anyhow as those are the only buyers big enough to save them at this point.
The former you should just know from working and being old enough to post on slashdot.
The latter I can forgive but still shows a lack of interest in the world.

Its starting to look like the economics of AI don't work out for a lot of use cases.
There is exactly one client who has the ability to literally print money and they happen to be very interested in hacking into shit.

They need a plan to keep the hype train going long enough to maybe, hopefully, please god, replace all knowledge workers and they're rapidly running out of ideas on that front,

At this point they have tons of influence and the hype train is slowing down. Dealing with the feds is something they'll have to deal with when they lose a ton of rich people money anyhow.

They're buying time to hype another day.

Yeah and they deliberately trained these things to escape and wanted it to happen and both companies have a vested interest in seeing it happen.

And that will be considered criminally negligent in the future.

Yeah people thought they could never get off DEC either.

I think that once the dust settles "AI experts" will be expected to have a ton of risk related knowledge and pretty much most of whats happening today will be considered criminally negligent.

Also there is already legislation out there and more on the way, There will be uses for this stuff but today's wild slopmongering will be considered EXTREMELY bad practice and career ending, possibly even criminally negligent in some cases, in the future.

This is a fact.

I think quite the contrary whereas puzzled's post shows that he lacks the sense to know these "escaping models" stories are all PR stunts.

Problem with selling this as a product is that these things perform best on small tasks. Sure you can get a megamodel to shit out a whole application and sometimes it's fine. But it really best works as fancy autocomplete in your IDE where you basically know what you want already or find it to be a helpful suggestion.

There are free models that will run just fine for that purpose on your old gaming gpu that's collecting dust. Nobody is gonna make much money on that, I'm sure the NPU in a macbook is fine for the purpose as well.