I don't really think you can trust everything they say to be a lie.

That's harsh. But the do need to remember what the term "bleeding edge" means.

Sorry, but you're wrong. LLMs are already quite useful in science and math...but not with the internet as a training basis. The LLMs that are useful in sciences need to be specialized for the particular science, and they need to be used as hypothesis generators rather than as answer givers. They can also be used to filter out noise (though in that case there's more need to beware of errors).

I'd call that an "if" rather than an entailed consequence. There are LOTS of ways to maintain a monopoly.

In 1960 "made in Japan" was an insult. In 1970 it was a compliment.

Countries have competed against each other since the earliest records.
If we're extremely fortunate, perhaps we can keep this competition on economic grounds.

If that's a nationwide average, then it's quite possible that large segments *do* have more electric power available than the median US user. China has lots of rural, partially modernized, population. And there may be more people in those segments than the population of the USl

Solar panels have that potential, but it requires proper use and planning to achieve it. Ditto for wind turbines. Once those get above a small fraction of the load you need load balancers. For this purpose most batteries are only short term, and you really need something that's good for weeks or months (preferably years). Pumping water uphill can work, if you've got the right situation and you plan for it. Other things can do the same job. Storage always comes with additional costs, if only in efficiency.

Simple answers here are so bad they're wrong. You need a good plan that you follow and do the necessary maintenance on.

But, yes, solar cells are a great component of such a larger plan. And we've been botching it.

The amyloid hypothesis is not based on fraudulent foundations, but they are pretty weak. Additionally, from what I've heard the mouse model of Alzheimer's disease is a pretty bad model.

This is worth following up on, but not on getting too excited about.

Well, and FWIW, 2C is probably an underestimate, like most of the forecasts. The official forecasters never want to sound too extreme.

OTOH, it still depends on what we (as a world civilization) do. So far we've kept raising our CO2 discharges, but we *could* reverse that.

Great, I'll use my old MacBook charger.
Oh no! it's a MagSafe 1.

I guess I'll get the slightly newer MacBook charger.
Oh no! It's a MagSafe 2.

I guess I'll use the MagSafe 3 that came with the new laptop.
Oh no! It's not there.

It's a good thing I never enabled secure boot on my Framework laptop.

Makes me glad I gave up on TV. (OTOH, it makes me worry about the next time I need to replace a monitor.)

It's a combination of training data and rewards. Chatbots are trained to never admit that they don't know, and to always be willing to be convinced that the person talking to them is correct. This makes them more popular, and enchances engagement, but at the cost of accuracy.

I think that if they're actually generating feature length films, they'll probably be decent...well, not much worse than what they've been doing. Films are expensive not just to shoot, but also to make, so I expect there'll be lots of steps where "editorial judgement" is applied.

OTOH, I'm not a movie goer. I don't know the current quality. And Ed Wood is a level it's pretty hard to go below.