There has been plenty of progress in using AI to control robotics; they use robotics-specific AIs for that, of course.

The fact that ChatGPT (or even LLMs in general) isn't particularly useful for robots shouldn't be a surprise, since robots (other than maybe C3PO) are about physical manipulation of objects, not about language generation.

Dig a bit deeper and you can save money by skipping the nuclear-reactor part; just heat the water for your steam turbines with the geothermal heat that's already present down there.

Compared to what was available before, it is quite impressive.

The negative feedback is prompted by the fact that AI is constantly being shoved into every one of our orifices 24/7 by every vaguely tech-related company as if it was the second coming of Jesus. To justify that amount of social pressure, it would indeed have to be quite a bit better than it actually is, and that's why people aren't impressed.

You mean, why does Linus keep agreeing to be interviewed, and then reply to straightforward questions with the obvious answers?

What would you rather he do? Refuse to be interviewed, or maybe make up unexpected answers just to be edgy?

... which, to be clear, is a good thing. Working around the compiler is dangerous and a code smell, so it shouldn't be something that is easy to do. It usually indicates that either the compiler's capabilities aren't sufficient to meet your needs (in which case, a better solution would be either a better compiler, or to re-evaluate the wisdom of your approach), or that you are doing something the wrong way and should find a way to do it that works with the compiler, rather than around it, so that you get the benefits of the compiler's co-operation.

If education was an easy fix, we'd have an educated populace and ClickFix wouldn't be a problem.

The fact is, we live in eternal September. No matter how many people we educate, there's a unending firehose of exploitable n00bs arriving to replace them.

If you're going to attempt something outrageous that is almost certain to fail, why not a Space Elevator? On the off-chance you do succeed, that would be a hell of a lot more valuable.

A baby in a cradle is the wrong analogy -- a better analogy is an internal organ inside a body. Yes, you can (with advanced technology and at great expense) remove the internal organ from the body and keep it alive externally for some time, but it's going to be unpleasant for everyone involved, and sooner or later the disembodied organ will wither and die, unless it is returned to the environment it was specifically evolved to live within.

They will supply each satellite with an ice pack to dump waste heat into. SpaceX will launch regular resupply missions with fresh ice, as necessary.

OTOH the nice thing about software is that it's easy to update, so anyone is free to replace their slow/inefficient software with a faster/efficient version as soon as they obtain it, at which point their fast hardware should run the efficient software very quickly. Nothing (except possibly bad management decisions?) is preventing anyone from creating efficient software, either.

Defies the thermal limits, probably.

Was there ever a ban, or just tarrifs high enough to price Chinese vehicles out of the market? Since Waymo isn't selling vehicles, perhaps that isn't an obstacle for them.

Maybe they were; at this point they seem to be reduced to trying to invent a more compelling form of interactive pornography that they can sell subscriptions to. Color me underwhelmed.

Perhaps it was referring to golems? That idea dates back to 400-500 BC, although really they behave more like traditional computer programs than anything we'd currently consider intelligent.

I don't need an AI to write my code, since I can write code myself. That said, it could be nice to have an AI inspect my code and point out anything it suspects might be a bug... there are already lots of static analysis tools that do this sort of thing and they are great, but I think AI might be able to find different classes of bug that are beyond the capabilities of static analysis.

Going a bit further, what would be even more useful is an AI that can run my program and exercise its GUI (or fuzz its inputs) and monitor the resulting behavior the way a human would, to look for faults during execution. Human-driven SQA is always a lot of tedious work, and a production bottleneck.