No, they'll buy licenses for QNX or VxWorks. Or switch to BSD. A lot of car stereos run on QNX/Qt.

You're thinking of Ocean's 11. Different film.

https://en.wikipedia.org/wiki/...
https://en.wikipedia.org/wiki/...

Have you heard of Ocean's Eleven? He directed Ocean's Eleven. And a few dozen other films, one of which you're probably seen, unless you don't like going to movies.

I'm guessing it's a lot of legacy apps. My friend worked with PowerBuilder heavily in the 1990s doing a lot of custom work for niche vertical markets, like municipal water utility billing applications and industrial monitoring systems. I think a lot of that stuff is still floating around, and, similar to mainframe applications, organizations don't want to pay to overhaul the whole thing in Java/Rust/Python/whatever is fashionable at the moment.

The cars are cheap for two reasons. 1. Absolutely everything is subsidized - from the labor to the steel to the rubber gaskets 2. There is no support infrastructure set up - no service centers, no parts distribution warehouses, no support network at all If the US government subsidized the crap out of US car makers, and they didn't have to support their vehicles at all, they'd be cheap, too.

My friend has a fancy hearing aid, and it has a setting where it focuses in on the voice of the person he is looking at. I think it's even called party mode. It cancels most noises except for the closest person his head is aimed at. He can tweak the sensitivity to the point he can clearly hear people talking from several tables away at a noisy restaurant, if he looks directly at the speaker.

They spent a lot of time and money making sure CUDA worked right. For a while AMD's compute API wasn't backwards *or* forwards compatible. You had to do some rewriting and a recompile every time a new API was released.

Intel has gone through three completely different, and mostly incompatible, hardware stacks. Remember Phi? Altera? Now it's AVX for some compute tasks, and Xe for other tasks.

My very first PC build was a 486 built out of pulled parts from the computer lab where I worked. My first real DIY build was a K62-300 with a Matrox G200 video card. Ran every bit as good as my friend's P2 at half the price.

It's all statistical connections between words. It's not a conceptual model. There is no understanding of morality, ethics, or basic reason or logic. The only way to fix it is to bolt stuff on after training.

Also, you need an enormous dataset to get enough useful weighting for the model to work. For example, they didn't use chat logs because they wanted to, but because they needed the training data to get the models to function. They are still looking for more. You could prune back sources, but the models will perform worse.

Came here to say this. There is a *lot* of garbage in podcast land. The handful I listen to have been around for over ten years. I haven't heard a new one interesting enough to subscribe to in, probably, five or six years.

Coding is not development. AI can code. It cannot develop. For more information go back to the developers using AI to write a C compiler in Rust. It took a significant amount of developer effort. They didn't do a lot of coding beyond unit tests, but there was a whole lot of manual development work going on.

This is an incredible hack. And I just resurrected my father-in-law's Compaq Armada P3 laptop and it's looking for something to do...

Lack of hardware virtualization shouldn't be a problem as Windows 9x lets you do almost anything. Heck you can change addressing modes, which is verboten in WinNT+.

Compare the code, if it's similar then Claude is relying on stuff it's been trained on. If not, it's generating novel code that does the same thing.

They were government-required audit logs, tied to user accounts (21 CFR Part 11) The underlying feature is un-ban-able. We asked the companies for them so we could figure out the adoption rates of new features. Most companies didn't care. We didn't do anything else with the data.

The company I used to work for data-mined telemetry to find out what product features people actually use. Would that be banned?

Also, a data-mining ban from the government will never come, as they want that data, too.