CompactFlax @ CompactFlax @discuss.tchncs.de

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5 mo. ago

Generally true and that’s why I often read these articles scratching my head. Make them closed loop! They almost always use chillers…

Water use becomes a concern if the water is moved too far and/or too fast like your Sahara example.

Economically, birth rates need to go up.

But environmentally, it’s not a good picture.

I see your point but the correct answer is to install current branch. If you want pain and suffering, skip the appetizer and go straight to Linux.

If you pay me well enough to maintain my current standard of living within 20 min transit/cycling/walking commute of the office, I’ll do hybrid. But I suspect I’m not going to get a mid six-figure USD raise.

Keep resisting RTO and the demands will continue to drop.

It can be disabled.

You need the PIN.

You’ll also need to leave the Apple Family.

Simply, because Microsoft says so. The amount of “omg micro$oft is such garbage” more professional versions of that that can be attributed to not RTFM is fairly significant. It’s interesting how much effort people will put in to making a OSS project work, and give up fairly quickly in Windows land. Merely an observation; all respect to those who daily drive on Linux (and to be fair it’s been quite a few years since I tried).

More specifically, you can run into driver and software issues both inside and outside of the Microsoft space. The “Feature Updates” that are put out do include a fair bit under the hood sometimes and you miss that. Less likely in the personal use space, but quite significant in the business space. When the IT curmudgeon deploys LTSC across 1500 devices and 2 years later needs to implement a newer capability, it’s a hell of a lot of work.

Your use case is realistically the intended use case, outside of industrial equipment/embedded systems. You’re using WINE for most stuff and poke your head into Windows occasionally.

LTSC is supported, yes, but it’s an edge case not intended for desktop (or most server) applications.

If you don’t want to move to 11, install a flavour of Linux. Don’t run LTSC.

150 year half-life in aquatic environments.

Also, just because it’s not officially used doesn’t mean it’s not unofficially used; I’m sure there were some barrels that went missing here and there.

India continues to manufacture it and China only stopped in 2007.

Thanks for sharing; I was unaware. Just closed off that network hole.

This was written by AI, badly.

If there’s a hint of ambiguity about the layout of the road or my intentions, I signal. It can me 3 am and I’m the only person on the road. It’s right the thing to do.

Cheese-eating surrender-monkeys, the lot of them!

But don’t impugn Captain Picard.

£500 fine and they’re on their way.

We’re not growing trees like this anymore. Globally, we need to protect these ancient specimens.

It’s like a diary, except it stores far more information. A diary, a complete log of all correspondence, a Rolodex, photo albums - the list goes on.

I have heard this before. He’s got a bizarre eugenics fetish and thinks that more billionaires need to have more kids because they’re billionaires have superior genes as evidenced by being billionaires. Fucking weird.

Chicken … egg

Because what North America needs is easier access to drivers licenses.

Entirely agree with that. Except to add that so is Dario Amodei.

I think it’s got potential, but the cost and the accuracy are two pieces that need to be addressed. DeepSeek is headed in the right direction, only because they didn’t have the insane dollars that Microsoft and Google throw at OpenAI and Anthropic respectively.

Even with massive efficiency gains, though, the hardware market is going to do well if we’re all running local models!

No, that’s the thing. There’s still significant expenditure to simply respond to a query. It’s not like Facebook where it costs $1 million to build it and $0.10/month for every additional user. It’s $1billion to build and $1 per query. There’s no recouping the cost at scale like previous tech innovation. The more use it gets, the more it costs to run, in a straight line, not asymptotically.

AI is a commodity but the big players are losing money for every query sent. Even at the $200/month subscription level.

Tech valuations are based on scaling. ARPU grows with every user added. It costs the same to serve 10 users vs 100 users, etc. ChatGPT, Gemini, copilot, Claude all cost more the more they’re used. That’s the bubble.