Which it was.

...My installation of minidlna still works fine, is Free Software, and doesn't phone home or exfiltrate my metadata.

It might be a hallucination, or it might be a real problem. And there are other possibilities. (E.g. earlier it was suggested that MS noticed a bad bug *somehow* and the government didn't want the bug to be fixed.)

If you want to be fair, it's been headed that way ever since the 1860's. And prior to that the individual states were headed that way.

People in power like to make their jobs easier.

"Security by obscurity" doesn't work by itself. It's a necessary component of every security policy, however. You can't just pick one. (It's called "defense in depth", but that's not really a good metaphor.)

Just a couple weeks ago, I replaced the battery in my 6-year-old Lemur Pro. Not very hard, and now it's great at holding a charge again.

Yes, getting this thing in 2020 cost me 2-3 times as much as today's new Macbook Neo, but I needed a machine I could rely on, that wasn't designed as though I'm the manufacturer's adversary.

Could the point of the brag be that it's newer hardware? My understanding is that successive generations of earthling chips are more vulnerable to malfunction from cosmic rays, etc due to their much higher density.

But I've totally not kept up. Is this still a problem?

Current base price for a Mac Mini is $599. So, there's that.

If that's a barrier to entry, it's one that is shared by 90% of the (non-laptop) PC market, and it never seemed to bother PC users. It's not like Apple won't happily sell you a keyboard, mouse, and monitor along with your Mac Mini, if that's what you want to do.

Since pertinent information was withheld (that it didn't know), then by your own post you acknowledge it was a lie of omission.

The stupidity of people these days is truly beyond belief. And, yes, get the f off my lawn.

We learned back in the 80s that trying to get a neural net to emphasise what you want is actually very difficult. What it will tend to emphasise are the assumptions that underly the test data, and that's usually a completely different sort of fiction.

Comparable to, say, a 787 airliner, whose environmental damage we tolerate without thought or comment simply because we're already used to it.

Consider the alternative, then. Anthropic does nothing, and sooner or later OpenAI or some other less responsible company delivers an AI with similar capabilities, but just throws it out to the public without much thought about the consequences. Both the black hats and the white hats start using it, of course, but the black hats have a field day compromising anything and everything before the white hats have a chance to find, fix, and distribute all the necessary patches to defend against all the newfound exploits. Not a great situation to be in, but probably unavoidable at this point unless the white hats are given a head start.

But was that figure provided by AI?

Even if not, we all know that 793% of all statistics are invented.

If something is inaccurately presented as being the truth, then it is a lie of omission because it is dishonest about the fact that the information isn't actually known.

Gemini is exceptionally bad, as LLMs go. I really have no idea why it is so dreadful, even compared to other LLMs. It isn't context window. and it doesn't seem to be training material either.