Will it have a Genuine People Personality? Perhaps a cheerful and sunny disposition?

Lenovo was never an "IBM brand." IBM sold them their client computing assets in 2005, and their x86 server assets in 2014, but Lenovo has never been a part of IBM.

Good question. Their POWER series of CPUs were not insignificant in capability, their chip designers were clearly technically sophisticated, and GPUs are just specialised vector processors with a few extra bells and whistles - stuff IBM is extremely familiar with.

It would not have been difficult to release a GPU or other LLM-specific processor to go along with the POWER11. They'd been working on the POWER11 for 4 years, they knew in 2020 that LLMs had a strong potential to be significant for Big Data processing - an area you use big iron for, they're not rank amateurs, they have plenty of reserve, they could have assembled an emergency team to build a vector processor that was custom-designed for just LLM work, and released an LLM processor card that could run circles around nVidia.

They didn't. Because, as has happened before, their management is simply too stupid and too slow.

Perhaps the real problem is that there is simply no reliable way to tell a real human's post from a generative AI's post anymore, since by the AIs are trained on the posts of real humans and are asymptotically becoming indistinguishable from them. You certainly can't simply go by post-quality, since the some of the smarter bots are better posters than some of the, err, less-well-informed humans.

Because of that, it's hard to feel good about putting any real effort into a social media conversation, because in the back of your mind you're always wondering: am I engaged in any kind of constructive activity here, or am I just unknowingly humping a rubber doll that Zuckerberg (or somebody) has provided for my amusement?

I'm sure the shareholders will be lining up in droves to accept your offer of 1/25000 of a cent per share.

Nothing nefarious here, no potential for abuse, move along, move along.

What if...

Someone (say someone who was familiar with doxygen and GCC) developed number of comment types, where some stipulated preconditions that must be true for the function to run correctly, postconditions that must be true once the function has run, kernel facilities that the function definitely needs, and kernel facilities that the function definitely doesn't need. These would all be optional for any given function.

A static checker could then validate if the code meets the behaviour expected by the programmer. This is precisely what is done in SPARK, a fork of Ada for high-reliability code. Combined with existing static checker capabilities, this would greatly increase the number of bugs that could be caught with all kinds of tools, AI included.

It could ALSO build a full fine-grained mapping for any fine-grained mandatory access controls system. You'd also want includes that you could import for precompiled libraries. This would allow someone to verify if the code was making unanticipated/undesirable calls but would also make SELinux possible to develop for at the application level.

It would not be trivial. If it was trivial, it would have been done simply because it already IS done in other languages and that makes it "obvious" to anyone who has been programming for a while. However, it should not be massively complicated, simply because you can use AI as the static checker. Once it has a definite set of bounda that must be satisfied, it should be much more capable of knowing what paths would violate those bounds. Which means that the checker stage essentially is trivial today, leaving only the markup stage.

A Dyson sphere would have significant environmental effects too, and it's equally likely to be built.

Is to set coursework and exams that are specifically crafted to exploit where AI is weak or prone to hallucinate.

You do not ban cheating, because those who cheat will inevitably find ways to circumvent the ban.

Rather, you exploit the properties of the mechanisms of cheating to ensure that those who actually understand the ideas are marked relatively highly (regardless of whether they reach the textbook conclusion) and whose who do not understand the ideas cannot do well even if they give what is in the textbook.

The interest should not be in precise answers, but in precise use of tools of reasoning and analysis, because this is what actually matters when it comes to understanding. Yes, it means you can't standardise so easily, and you have to devise things in ways that don't penalise intuitive thinkers over methodical thinkers, but you cannot teach a subject properly if you are only concerned about the surface.

I didn't see a 5.6 option on the Windows client last night.

Haa anyone else observed 5.6 in the wild?

Trump doesn't need to have power, he only needs to create fear, uncertainty, and doubt.

Companies are risk-averse, which is why Anthropic pulled their AI model for a while.

You can get Veracrypt to work with the Mac, via FUSE, but I don't know how safe/robust that is. It's probably more secure than anything Apple has. It's certainly more secure than anything Microspot has.

But, yeah, it's getting extremely irritating that useful stuff is being taken out of commercial OS' and junk put in.

There's no known client, but there is a very good unknown client:
(For those familiar with Kenny Everett...)

https://dev.to/jfscoertzen/cha...
https://snapcraft.io/chatgpt-d...

Whether it has all the official features, I don't know. But that's your best bet.

"I'm a 30 second bomb! I'm a 30 second bomb! 29... 28... 27..."

From TFS, this is serving commercial flights rather than general aviation.