I.e. "It does."

Merit should always consider strictly value.

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.

I think they feel it would be more like humans communicate. But humans invented blackboards and certainly found them useful to improve communication.

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.

I don't actually use Apple Store all that often. A fair portion of the software I have installed, like LibreOffice and Firefox is just installed via DMG images. It kicks up a window about unrecognized source, but then just works. iOS devices are definitely more locked down, but the Macs are really no different as far as installing software than Windows or Linux.

I imagine the Mac Neo is the real source of their panic. Right now RAM prices are probably saving them from even more losses, but the hegemony is coming to an end. If a credible useful, at least for average users, non-Windows platform using smart device level hardware can sell as well as the Neo has, I'd say Microsoft's reckoning is finally upon them.

At what point in this long and seemingly endless list of fixes to even the most basic usability features in Windows do its users finally admit it is really a shitty and badly maintained operating system. I use Gnome or MacOS, which are streamlined and uncluttered, and then I head over to Windows and it's like looking into the mind of someone with severe ADHD. It's a colossal mess where nothing particular makes sense, there's no coherent approach, everything is slow and inundated with advertising, context menus that worked for decades don't function right or at all, even the simplest tasks just seems to land you in the wrong place.

I suppose under the hood it's still a fairly decent operating system, although tools like Powershell, which can be achingly slow itself, demonstrate that there's a lot of layers of cruft.

I don't play video games, and frankly Office isn't that much better for my needs than LibreOffice, and Outlook is a bloated pile of crap, so I rarely even access the Windows desktop I have at work via RDP, save for two applications I rarely use. Windows is rapidly becoming irrelevant in my world.

The change to prioritize what you have installed over showing web content is a plus. I generally avoid using the search on the taskbar because I don't care about web content when I am doing a search for stuff already on my computer.

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.

Ah, good 'ol "Model Collapse" theory that people have been pounding on for years now, predicting an imminent collapse in model capabilities. How has that been working out for you?

Except what the US is actually facing, at least in the near term, is just the opposite, a worker shortage.