It has some multitasking on the latest versions of iOS. You can drag a YouTube window up by the bottom right corner and open a Reddit window on another part or the screen if you truly need to be distracted from distraction by distraction.
Are they going to be as hard to keep clean as glasses. Honestly it’s the biggest problem I have with sunglasses, it’s that as soon as you get a speck of dirt on them they’re annoying. And if it starts raining you can’t see anything (and you look like a tool).
> That kind of outward focus kills emptiness fast.
I used to race on a friend’s sailboat. One of the things that people noticed on a sailboat is that you need to and have to be focused on immediate problems, rather than any problems on land. If you fail to pay attention to problems at sea, you may no longer have any problems on land, or anywhere.
This can allow you, at least temporarily, to forget any problems you might have on land.
It’s often very difficult (intractable) to come up with a probability distribution of an estimator, even when the probability distribution of the data is known.
Basically, you’d need a lot more computing power to come up with a distribution of the output of an LLM than to come up with a single answer.
> Has there been a regime which has collapsed due to an external strike like this where it hasn't resulted in some decades long civil war nightmare?
People have already mentioned the post WW2 occupation of Germany and Japan.
There’s also the Roman occupation of Greece (and other Hellenistic territories), and even perhaps the Norman occupation of England. Not that either of these didn’t cause some strife and rebellion in both cases, but still there was a concerted effort to build up both territories.
The data centers have already been financed, they’re not going to stop halfway through because they’ve run out of money. Whether or not they’ll make money on completion is a different story, but that’s 2-3 years away at least. Then you might see RAM prices drop, but not before.
> Companies have reduced staff prematurely on the promise of productivity improvements that have not occurred and lost customers to terrible customer service and declining product quality.
Companies have reduced staff because of the impact of tariffs, because of low consumer confidence and spending, or as a ploy to pump share prices. Then they claim it’s AI, because it sounds a lot better to say that you’re reducing headcount because of AI than it does to admit that you’re cutting costs because of falling revenue.
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