So then what is the point of Yoda being immensely old? Is he basically 63 in Yoda years?

It did. The authoritative upstream repository for the Linux kernel is hosted at kernel.org, not GitHub.

The "victory" is literally "pwning the libs." The thought process is, "Anything that denies them something that they want makes them weaker and us stronger." The base rallies and cheers, and meanwhile Trump and his cronies go back to extracting ungodly amounts of wealth from the entire world's resources.

Kinda unlikely. If you leave anything sitting under the ocean, it's going to experience significant wear and tear. If there's no budget even to monitor the status of the monitors, let alone conduct routine maintenance, they're likely to be as good as junk by the time they're switched back on.

Not to mention that the data is also used in industry, particularly in farming and fishing, where it is used to predict climate-related events. And this aren't just long-term events we're talking about. "Where are the fish likely to be this year" is a question this data can help answer.

What? I have one. It's hooked up (through an adapter) to the VoIP port on my fiber router. It rings and everything.

Which is, of course, nonsense. Nothing stops you from making a copy of encrypted data. What sucks is that for a backup, you likely can't do incremental.

Yeah? So how come he never speaks and has the language comprehension of a 3-year-old?

In your case it might simply be that there was not enough of this kind of tasks in the training data.

How did you "just get" something that has yet to be released?

I agree in general, but not with this strong phrasing. I've let AI build a good amount of non-trivial code. But my consistent experience is that it works best when guided by an experienced coder who can correct it, and when implementing well-known algorithms rather than coming up with novel solutions.

Example: I let it write up a quadtree implementation in a language for which there was no ready solution online. It took 2-3 correcting prompts to get a good result. I could've done it myself but it would've likely taken a few hours to get it all right instead of the half or so hour it took with AI. The important part for me was that there's nothing unknown in how to implement a quadtree. All the AI needs to do is take the 100s of existing implementations and translate them into a different language.

True but too simplified. The Luddites had an entirely different motivation: The fact that factories now employed women and children at very low rates meant that the men lost their status in the family as bread winners and head of household. That was a major social disruption, which we don't have with AI.

I'd compare it more to teamsters or wagoners when cars became common. Your job is threatened by a different way of doing the same thing, a way to which your skills don't cleanly transition. Some choose to pick up the new tech, some want the old ways to persist.

In the end, coachmen became chauffeurs, because rich people prefer to be driven around oder driving themselves, no matter if it's a horse or an engine doing the pulling. But much fewer teamsters and wagoners became truck drivers.

Hmmm ... interesting.

BOTH of them? :-)

The exact scenario we warned about when the discussions about this "responsible disclosure" nonsense started. Someone needs a reminder that letting you know your software sucks is a courtesy, not something you can demand.