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Comment Re:In a Word (Score 0) 30

LOL. This is great. What you may be missing here is that global warming alarmists are obligated to shout down any suggestion that human development has led to any upward skew in historical temperature data through localized effects, as opposed to global atmospheric effects. Now, we have someone pointing fingers at data centers by measuring temperatures near these developments and reporting increases. "The Cat" has instinctually surmised the crisis.

What's an interweb Planet Saver to do??!!

Comment Re:Taxes (Score 1) 76

Did you think we were the 'only surviving industrial infrastructure' until the 80s? /huh?

I'm going to go ahead and assume bad faith on your part, because otherwise you're very stupid. But nobody in your potential audience is stupid enough to believe there aren't lasting effects to being bombed to shit.

Comment Re:I live in Washington state (Score 1) 54

Perhaps you did not buy a Tesla. They are probably the most service-hostile vehicle ever sold in the US. Not sure about the UK, I haven't heard stories (horror or otherwise) about service for Chinese EVs yet. They would have to try really hard to be worse than Tesla, though.

Comment Re:25,000 lines of code (Score 1, Interesting) 65

It might take one person one year to write 25k lines.

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.

How does a person get their head around that in 15 hours?

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.

Comment Re:Was not expecting them to admit that (Score 1) 54

They had to say it that way, because the more accurate statement is that the dealership law unfairly advantages existing automakers.

Even the entrenched automakers don't want dealerships to exist, they would all prefer to sell directly. They have better ways to keep down competition at the federal level. Dealerships just take a cut of what they could be keeping all of if they didn't exist.

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.

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