Yep. And this just means that F-Droid has to have one person sign up and submit all of the apps for signature, as I said.

Yeah, there's two main problems:

1) People entering the wrong fields. For example, medicine really needs workers, at all levels, but not enough people are going into it.

2) Certain manual labour fields, like field work and home construction, because... well, I think we all know why there's a shortage of workers in those fields.

Nonsense. There's no reason to expect that mandatory developer certificates will kill F-Droid, at all. F-Droid will need one guy to pay the $25 fee and identify himself. Unless they can use the open source developer exception that Google has talked about (but hasn't announced any details, AFAIK).

That's a bigger issue, because Google's announced policy is to require that apps respect intellectual property, which would include not distributing apps that blatantly violate terms of service. Most likely F-Droid will have to stop distributing NewPipe if they want to be in Google Play. If dropping NewPipe is enough to kill F-Droid, then I guess that'll do it.

Those in the north will complain because the portion of the winter they go to work in darkness will increase, and it will be darker. Those in the center will also complain louder because they'll start going to work/school in the dark.

Those in the south will be confused about why everyone else is complaining, but they'll lose.

It's really not. 20 years ago, yes, but they've grown up and wised up. I know lots of excellent engineers at Microsoft, and I know they do good work, and they report that their colleagues do, too.

And note that I'm no MS fanboy. I hated them with a purple passion in the late 80s and early 90s, and swore off Windows entirely in 2001. I did finally break down and buy a Windows laptop a couple of years ago because I bought a CNC milling machine and the good software is Windows only, but that's the only thing I use it for.

More precisely, "Everyone does".

Microsoft's code isn't especially shoddy, all large codebases that are getting AI review right now are experiencing the same thing.

I should have added:

"In general, renaming things does not fix a problem."

Though heaven knows, lots of stupid people try it.

Why not just discard the whole idea of DST instead of putting it into permanent effect?

The whole concept is an attempt to redefine time as a way of addressing perceived social problems. Schedule activities around the clock, not the clock around activities.

Not surprised that someone exploited a vulnerability, but surprised that deployed military personnel are allowed to use civilian communication systems.

That would be funny... but also foolish. Iran is thrilled to have Trump right where he is, doing all the dumb things he's doing.

Valid! (Including the gray and the beard, though my hair is still mostly black. Mostly.)

The point, though is that there are lots of grandmas with varying levels of computer knowledge, many of whom can and should be moved to a Linux system that is harder to screw up. Or, honestly even better, a good Chromebook.

On that topic, I did that for my father-in-law around 2010. I got tired of cleaning up the mess he made on his Windows laptop, so (with his permission) I upgraded him to Debian. It was hugely lower-maintenance for me.

The really funny thing about that particular case is that my father-in-law was a retired Full Professor of Computer Science! His problem wasn't that he didn't have the background or ability to manage a system himself, it was that he didn't want to. At his life-stage, the computer was a tool that he used, mostly as a web browser to buy parts for the farming and antique furniture refinishing that were his passions. Also, he had very thick fingers and constantly fat-fingered stuff, literally. What he really needed was a Chromebook with a full-sized laptop keyboard (a bigger-than-normal keyboard would have been even better), but Chromebooks didn't exist yet.

I'm a grandpa and I'm using a computer. My wife is a grandma and she's using a computer, too.

Or let's put this another way. Show of hands - how many of you "spicy autocorrect" / "stochastic parrot" people had "AI will start mass-solving Erdos problems" on your forecast list a couple years back? Huh, none of you? Fascinating!

Take some time to reassess your priors. And while you do so, understand that, yes, they are doing logic / reasoning.

They weren't discovered by an LLM. They were known conjectures that were proven by an automated solving language that was linked to an LLM.

I'll take "Things That Didn't Happen For $200", Alex.

Only a handful of meaningful proofs have ever been done by automated formal theorem solvers (the Four Colour Theorem being the most noteworthy example - but its proof is so long that humans can't verify it). By contrast, AI tools have been solving Erdos problems en masse. The majority of them just bog-standard commercial models. In case you need help, the only ones on that list that were hybrid (AI / non-AI) in the actual solving phase are:

1) AlphaProof / DeepMind Prover Agent / AlphaProof Nexus
2) Aristotle (Harmonic)
3) Seed Prover / Seed Prover 1.5 (ByteDance)
4) AxiomProver (Axiom Math)

In each of the above, LLMs come up with the lemmas / strategies but then use Monte Carlo search ("brute force") or likewise to investigate what they came up with. These are a minority. In the "AI Standalone" category, these "hybrid" tools made up only ~20% of attempts and successful proofs. Hybrid tools actually made more of a contribution in the "AI Alongside Literature" (related literature found afterward) and even more of the "AI Building On Literature" (related literature known beforehand) categories, which is the opposite of what people like you expect.

And even with the hybrid tools, it's still the AI doing the heavy lifting when it comes to strategy. Non-AI theorem solvers, again, don't have a spectacular record for churning out novel proofs to unsolved problems. Tools like Lean are more about mathematical rigour - a passive environment that requires a driver (a human or AI) to feed it actual strategies, lemmas, and proof steps. And no, you cannot brute force "strategy" in the vast majority of cases, which is, again, why automated theorem solvers don't have much of a track record with unsolved mathematical problems.

Let's take a random example: the disproof of the unit distance conjecture. It was solved purely by a general purpose commercial GPT model, not custom-trained to mathematics, with no external tools. Read what the various mathematicians reviewing / commenting on it have to say (sections #3 and onward). Seriously, don't skip reading them, actually read them. This was one of Erdos's favourite problems. He mentioned it commonly in his lectures. Essentially every mathematician working in complex geometry has thought about this problem. The approach that the model came up with was highly novel approach, based on CM-fields and class field towers.

I know you don't want to accept this reality, but it is the reality, so you better improve your ability to accept it,. The field of mathematics is already doing so.

Dang, link didn't post.