We build a fair number of metal things that spend their lives in sea water. Most of them have heat exchangers too.

Microsoft did that. It apparently worked okay. They've ended the experiments and haven't decided to deploy it in production.

You might like WaterFox better.

WaterFox works well and (so far) hasn't leaned into the AI crap. My guess is it'll strip that out but we'll see.

Individually directly paid taxes

Piling on some more qualifiers? You are probably correct that the rich pay most of those as well, but if so then why the misleading generalization?

Probably because the number isn't as big. Income taxes are (usually) designed to be progressive. That's the point. Most sales and property taxes, including the hidden ones, are only weakly so. Billionaries don't eat thousands of times more bananas than poor people.

You don't need to "think", whatever you think that is, to do depth from motion processing. You don't even need it to do contextual range estimation from still images. There are perfectly good old fashioned engineered solutions for both. Learning algorithms just let you do it faster by learning some shortcuts.

Just curious, are we measuring this by sales or sphincter size here?

I would think pressure would be the appropriate metric. Since it's Ford, I guess that would be PSI.

The author pretty clearly dropped that big about "used to build the Nagasaki bomb" to spice it up a bit. I'm sure the RTG also contained some steel, which was also used to build the Nagasaki bomb.

If that can be proved, then maybe Ukraine has a case. If it can't then they don't. If various parties in the Stans are laundering parts through multiple channels (rather than buying direct) then there would be no way for OEMs to know that their parts are ultimately bound for Russian drones or missiles.

That's different, and amounts to a conspiracy in terms of facilitating evasion of export controls. If you can prove that then you have a case. But do you?

It's not. Kodak sold a pile of 1000 odd patents to a consortium of tech companies for something like half a billion dollars. It was the accumulated bullshit of thirty years of "transferring a digital image via digital computer network on a Tuesday" type stuff, plus some actual innovation, much of it in algorithms, mixed in.

Hacky: the first of pretty much any gadget is going to be a pile of junk on some engineer's desk. So long as it fits on a desk.

Why secretive? He took an image sensor invented at Bell Labs and manufactured by Fairchild and used it to make an image. Secretive from his bosses maybe, since he managed to put Kodak out of business.

Maybe originally, but now the demand for gasoline far outstrips the amount naturally found in crude oil. That's why they invented cracking.

If one day there ever were an excess of light components in oil, they could simply transform it into higher-weight molecules. Along those lines, one of the biggest uses for natural gas is for building polymer chains.

Income taxes, not taxes.

"Instant" profit is more like "in five years" or "during my time in charge" profit. That AI "research" is very much aimed at generating profits in the short term. Nobody really cared that much until OpenAI announced something that could potentially cut into Google's ad+search money pipe, then the race was on. It follows precisely the silicon valley software company strategy: write some software, offer it free or steeply discounted at a loss to get users (i.e. "scale") then monetize it with ads.