I’m no layout expert, but I did do some desktop publishing about 15 years ago 10 min in Scribus had me tearing my hair out. Installed InDesign and, while it’s still not easy to catch up on the modern capabilities, it was worlds ahead.

GIMP is just fine for casuals. It’s not close for professionals.

Truthfully I think that one major issue with open source programs that don’t have corporate involvement is that people who are great at code don’t always have the same skill in UI/UX. However, with support and a larger community, great things can happen. The barrier is getting that adoption level. If more people casually use the product and contribute financially or in code, it will help tremendously.

Lifetime pension for MP after two terms.

Evaporative cooling. Low cost.

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.

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.

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.

This was written by AI, badly.

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

But don’t impugn Captain Picard.

Chicken … egg

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

It doesn’t make sense. Canada can’t really join Schengen and I’m not sure it’s a good idea to further fragment the Euro (Canada’s so different than the existing eurozone countries that it needs its own currency and the Euro already had crises with Greece and all that).

But an extension of the existing free trade agreement would be excellent.

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.

Theres openAI, google and meta (american), mistral (French), alibaba and deepseek (china). Many more smaller companies that either make their own models or further finetune specialized models from the big ones

Which ones are not actively spending an amount of money that scales directly with the number of users?

I’m talking about the general-purpose LLM AI bubble , wherein people are expected to return tremendous productivity improvements by using a LLM, thus justifying the obscene investment. Not ML as a whole. There’s a lot there, such as the work your colleagues are doing.

But it’s being treated as the equivalent of electricity, and it is not.

ChatGPT loses money on every query their premium subscribers submit. They lose money when people use copilot, which they resell to Microsoft. And it’s not like they’re going to make it up on volume - heavy users are significantly more costly.

This isn’t unique to ChatGPT.

Yes, it has its uses; no, it cannot continue in the way it has so far. Is it worth more than $200/month to you? Microsoft is tearing up datacenter deals. I don’t know what the future is, but this ain’t it.

ETA I think that management gets the most benefit, by far, and that’s why there’s so much talk about it. I recently needed to lead a meeting and spent some time building the deck with a LLM; took me 20 min to do something otherwise would have taken over an hour. When that is your job alongside responding to emails, it’s easy to see the draw. Of course, many of these people are in Bullshit Jobs.

I guess you didn’t see the several points in the article where they make it clear that it is “opt in”?

I do look forward for the bursting of the LLM bubble, but the article isn’t just about LLM.

https://discuss.tchncs.de/comment/17767086