A lot of things about foreign policy are based on realpolitik, not ideology. As long as you're not in power, you can ignore realpolitik, and therefore can promise anything you want. Once in power, things are different.

I figure with Lemmy having much fewer users, there's less potential for toxic communities to form.

So, in the post you're replying to, it's laid out how insurance wouldn't work, and your reply is "Have you considered insurance?"

Anybody who wants Trump to win. Which likely includes Israel.

Well, given time, prices will move to where the businesses make the most profit. If relationship between price and demand is linear, then an increase in expenses will move the ideal price point by half as much.

Assuming a linear relationship between price and demand, then if you increase the cost of product, the price where the most profit is generated moves by half of this amount.

I suppose that's true. But it just bothers me when people talk about the market cap like it's an amount of money that exists somewhere, instead of being an abstract valuation.

Looking at a different example, Ford's market cap is $42.61e9, and its revenue is $47.81e9, while the profit is $1.83e9, 20 times of which is $36.6e9. If we average both of them we get $42.205e9. So Ford seems to have about the right valuation.

Market Cap of a company is sort of a meaningless number. As in, it's shares in existence times price per share, which is just another way of saying its the share price. If somebody were to sell $100 Billion worth of Tesla shares, the market price would plummet and he'd not get the $100 Billion the shares were originally worth.

Of course, a rule of thumb is that a company is worth 20 times it's annual profit, or its revenue. So, by that valuation, Tesla is worth 28 Billion dollars, or 25.5 Billion dollars if we go by revenue. (I'm surprised that both approaches lead to results so close to each other) Compare with a market cap of 682,47 billion, we can see that Tesla is ridiculously overvalued. So, I guess you should go and buy puts on Tesla. Or sell your shares if you have any.

How so? Can you list some examples of upvoted things that are wildly wrong?

Current neural networks do really fancy statistics. To make the model better, you need to make the statistics more precise. Leading to marginal improvements of accuracy requiring exponentially growing marginal amounts of training data. This leads to exponentially decaying marginal utility coupled with exponentially growing marginal expense. Which quickly becomes unsustainable. Edit: On the plus side, this likely means you won't have to give up much utility when the market adjusts.

October 10. The apocalypse happened, however, I still have to go to work.

I'd say it could go either way. You could publish a positive piece on a company and then buy stock in them. They can make a profit whether their research turns out positive or negative. This would however give them an incentive to sensationalize their results, to exaggerate their findings, be they positive or negative.

America is car dependent because that's how the infrastructure was build up, not because of its size. Like, the highways are just as long as the train lines would be.

I suppose journalists getting murdered makes even the "journalists" at Fox News nervous.

The man is a billionaire. He can afford to have his clothes tailored. He has no excuse to look badly dressed regardless his body type.

The lesson here is that when picking code names, pick random words from the dictionary.

And when he dies, god tells him "I sent you two boats and a helicopter".

They're talking about an AI we build, the term "alien" in "alien intelligence" refers to it not having human thought patterns, not to extraterrestrial origin.

And the thought pattern here is more akin to "I ended the last paragraph with 'origin', followed by a 'period', so it's likely that the next word is 'And'" rather than anything actually useful. All current AI does is statistics. During training, the Neural Network learn statistical rules about their training data. This has exponentially decaying marginal utility, and exponentially increasing marginal costs. So, the problem the AI companies likely already have is that they can't efficiently train better models, because there isn't enough training data. And even if they could, they wouldn't be able to turn a profit on it, because it would be barely better than the last model they output, while having to charge maybe twice as much to break even.

Sleeping with a loaded gun under the pillow. If somebody wants to kill you, and is in your bedroom while you're sleeping, then you're going to wake up to a bullet going through your brain, before you go back to sleep permanently. A gun under the pillow doesn't even make sense in the gun nuts paranoid delusions.