Lol, cogent conservative responses here get modded to oblivion.
Frothing leftist flamer "Insightful"

Slashdot is so ideologically captured.

Did you think the benefit of being the 'only surviving industrial infrastructure' faded what, a week after ww2? /huh?

A year? I've regularly written that much in a month, and sometimes in a week. And, counter-intuitively, its during those sprints when I'm pumping out thousands of lines per day that I write the code that turns out to be the highest quality, requiring the fewest number of bugfixes later. I think it's because that very high productivity level can only happen when you're really in the zone, with the whole system held in your head. And when you have that full context, you make fewer mistakes, because mistakes mostly derive from not understanding the other pieces your code is interacting with.

Of course, that kind of focus is exhausting, and you can't do it long term.

By focusing on the structure, not the details. The LLM and the compiler and the formatter will get the low-level details right. Your job is to make sure the structure is correct and maintainable, and that the test suites cover all the bases, and then to scan the code for anomalies that make your antennas twitch, then dig into those and start asking questions -- not of product managers and developers, usually, but of the LLM!

But, yeah, it is challenging -- and also strangely addictive. I haven't worked more than 8 hours per day for years, but I find myself working 10+ hours per day on a regular basis, and then pulling out the laptop in bed at 11 PM to check on the last thing I told the AI to do, mostly because it's exhilarating to be able to get so much done, at such high quality, so quickly.

Until recently Sony made TVs which they have sold off to TCL. In terms of consumer facing products, they still sell a small amount or smartphones, cameras, and car stereos. In terms of manufacturing, Sony makes many electronic components like CMOS image sensors which are in iPhones and Androids and storage (subject of this article).

Silly goose, let’s ask AI for the answer.

The two reasons I can surmise is laziness on Microsoft's part or the more secure setting would interfere with Microsoft goals. For example, every policy that enables telemetry is more data MS can sell.

That's a valid point, though right now while they're facing competition from startups the dealerships do provide them with a moat that they want to preserve. If/when the startup threat is gone, the automakers will go back to hating the dealerships.

I think people forget how everyone laughed at Tesla because everyone knew that starting a new car company in the United States was impossible. Now we also have Lucid and Rivian. Maybe someday Aptera will manage to get off the ground. This is a novel situation for American carmakers.

"We used to have super high taxes for the wealthy and corporations."

Did we?

Because what I see is a high marginal tax rate really only in the postwar years. ... And anyone who begins their economic model in the late 40s is a moron or a liar.

Remember anything important that happened, say, midcentury?
Something that may have left the US fabulously wealthy, particularly relative to all the other industrialized countries who were shattered & left in ruins by the same event?

Anyone who points to that time and stupidly says "durr, we should do it THAT way" conveniently disregards the (hopefully unique) economic environment resulting from multiple, cataclysmic, economy shattering wars and the luxuries available to those left standing thereafter.

They had to say it that way, because the more accurate statement is that the dealership law unfairly advantages existing automakers. It's not about the dealerships being good or bad, it's about the fact that setting up a dealership network takes a lot of time and money and requiring it is a good way to keep new competition out.

The correct term is "regulatory capture". Private businesses use the power of the state to protect, subsidize or otherwise benefit them and harm competitors and potential competitors. It's extremely common and the more pervasive the regulation is, the more common it is. Red tape and government procedures benefit entrenched players who have built the institutional structures and knowledge to deal with them.

This isn't to say that all regulation is bad... but a lot of it is. There was never any consumer benefit to banning direct sales. All regulations should be thoroughly scrutinized for their effects on the market, direct and indirect.

I thought exactly the opposite. I think Rocky is far too "human". I didn't mind it, though, because a lot of the humor would be lost if Rocky was properly alien.

I think that's necessary. Providing explanations of depth comparable to the book would require a 10-hour movie. Squeezing the story down to feature length requires cutting a lot of exposition. In many books there's a lot of description that can be replaced with visuals, but it's pretty hard to do that with a lot of the science.

I'm sure you'd have said the same about Y2K. It's a good thing that some people have more foresight.

Oracle issued an out of band patch to fix a CVE. Nothing about that points to wider issues. Microsoft issued a patch to fix a buggy patch which followed another buggy patch. It has the marking of Monty Python's "We have sacked those responsible for the sacking."

I think you're describing the models from a year ago. Most of the improvements in capability since then (and the improvements have been really large) are directly due to changes that have the AI model talk to itself to better reason out its response before providing it, and one of the results of that is that most of the time they absolutely can explain why they did what they did. There are exceptions, but they are the exception, not the rule.

It's interesting to compare this with humans. Humans generally can give you an explanation for why they did what they did, but research has demonstrated pretty conclusively that a large majority of the time those explanations are made up after the fact, they're actually post-hoc justifications for decisions that were made in some subconscious process. Researchers have demonstrated that people are just as good at coming up with explanations for decisions they didn't make as for decisions they did! The bottom line is that people can't really provide useful insights on why they did what they did, they're just really good at inventing post-hoc rationales.