Obama deported way more than Trump does and no one complained. Why is that so? Or at least the complaints were not nearly on the level they are now. The actual anomaly is the Biden era.
I'd like to know of any countries where a foreigner can be there without a valid visa/authorization and not be summarily deported if they are discovered.
In Germany we have a thing called tolleration [0]. It actually covers quite a few people, because quite a few people seek asylum because legal immigrantion is often dysfunctional. The difference maybe is that it is difficult in Germany to be employed or take part in life without any formal registration. Deportation is often difficult because it needs to be safe and the country of origin has to cooperate. Because Germany only has EU borders, pushing people beyond its border is pretty pointless once they have settled (they typically return within a few days). But we also have over night deportations of families (children having grown up in Germany, people having jobs) with police raids in some cases, that leave people traumatized.
The issue isn't with the deportations -- it's actually with the change in tactic, and a lot of the extrajudicial behavior. Immigration is an absolute mess, and it's one we created ourselves with one bad policy after another. I'd recommend "Everyone Who Is Gone Is Here" to understand the 50+ year history of how American military and political involvement in Latin America created the instability which caused the refugee crisis -- and even created the cultural phenomena that resulted in the creation of MS13.
Change in tactics? This is as violent as it gets, the migrants being turned into slaves (paid $1 per day) while awaiting deportation, living in the worst possible conditions, possibly worse than jails.
It was common, on the left (i.e., not Liberals and not so-called Democrats), to call Obama, the "Deporter in Chief".
Democratic voters always circle the wagons to protect the administration, regardless of the administration's actions, when one of their own is POTUS. The Republican voters do the exact same thing.
Every car maker selling cars in the EU needs to comply with EU laws.
That's why Europe is mercifully free of Cybertrucks: they can't legally operate on roads within the EU, because they don't meet the safety requirements (one of your "little things").
They only had to comply with EU laws when they were already a big player in China. EU manufacturers need their new vehicles to be compliant on day one. That is, if they want to launch in the EU market first. Audi recently launched a China-only car (AUDI E5 Sportback).
I don't really agree with that. Helicopters can auto-rotate, drones can't. If something goes wrong with a drone system, it is going to crash hard guaranteed and likely doesn't have any meaningful control on the way down.
> Tesla's reputation with regard to quality and repair costs.
Tesla lives in the limelight 100x more than any other car brand. Every mistake or possible scandal gets insanely amplified. They are by far the most repairable EV car and have the most durable engines. What they do not tell you is that in an EV the engine giving out is the more common scenario not the battery pack.
I was more or less pointing to the expensive repairs needed in BMW as in you know it's locked down and you need expensive OEM stuff. Maybe that is covered under "quality is expensive" for normal people but when you buy a BMW you know the replacement parts bill is costing you an arm and a leg.
I checked the ingredients. That is because it contains glycerin. Which is a great and safe supplement to take for anyone with sleeping issues. But will cause very vivid dreams at the start. D3 will not by itself have a huge effect on dreams.
Yeah, I showed a really mild deficiency in my work so they just suggested adding a low daily dose for me. I wouldn't expect to have had any side effects.
I was very deficient and they gave me 50k UI per day prescription vitamin D3 for 60 days. Sure enough I was high-normal on my next test. 800ui is likely not enough to have any effect unless you consistently take it for years.
It was for 60 days. If they continued to take this much indefinitely it would surely cause troubles, but 60 days when starting from deep deficiency is reasonable.
It is high, but it's not extreme. 50k IU just once is an equivalent of about 7000 IU daily for a week, which won't really move the needle much if you're seriously deficient (in fact, it's still within what's considered a safe daily dose for healthy people - you can produce more than that from sunlight alone). You can feel free to take your "hammer" weekly, no deficiency required.
When I took >5000 IU daily for three months, I only raised 25(OH) D level in my blood from 9 to 30 ng/ml, and there's no evidence of toxicity below 150 ng/ml.
Of course, when dealing with high doses you need to keep your levels in check, as absorption can differ between individuals.
The most interesting point about OpenAI I have heard lately is they are literally trying to make themselves too big to fail. If they go down so does everyone else, which explains all those strange deals with everybody and the comment from their (cfo?) about being backstopped by the gov.
this is super overblown. what their executive said was that eventually the scale of compute required is so large, that it requires not only investing in new DCs, but new fabs, power plants, etc, which can only happen if there is implicit government support to guarantee 10+ year investment horizons required for the lower level of capital investment. that is not controversial at all and has nothing to do with OpenAI specifically being too big to fail.
If OpenAI fails, they could potentially bring in their downfall the major cloud providers who invested in hardware for them, expecting that it would pay-off over time.
Only Oracle went into debt to fund this expansion, and may well die. The rest of the cloud oriented mag7 used cash, can afford to write it off, and will continue being monopolies unimpeded.
'Potentially' but we are nowhere close to this. Hyperscalers print a _lot_ of money they can afford to lose. Even Nvidia wouldn't be in too much trouble yet. (The pure LLM companies are already toast, IMHO).
I don't see a world where there is such a catastrophic failure, unless someone comes up with a significantly more efficient architecture.
We're barely scratching the surface of the utility of LLMs with today's models. They aren't more pervasive because of their costs today, but what happens if they drop another order of magnitude with the current capabilities?
Hot take: a flagship silicon valley startup built on hype and overzealous ambition crashing and burning in 2026 is exactly what the industry needs right now.
Let's say OpenAI signed a commitment contract that they agreed to spend XXX USD in your company over N years. You invest in infrastructure, your contractors sometimes take loans, the construction companies take loans. Countries / Funds lend money to such companies (example: Saudi Arabia fund), these funds themselves raised debt, it can quickly spiral down.
If OpenAI fails, wouldn't their customers just move to other AI providers? So the total hardware demand by AI companies wouldn't dramatically change over a reasonable time frame?
If OpenAI fails, the assumed case is overcapitalisation relative to demand. In such a world, if the reason OpenAI has no liquidity is because there's insufficient demand, there's no customers to move across.
What happens if the OpenAI failure is because of lack of demand from their customers and the market in general? None of the AI providers or hardware providers will survive, no?
Similar to certain banks in 2007/2008, the idea would be “so much investment is tied to one company that if that company went bankrupt, it could have consequences for the broader economy”
The thing is, it is not 2007/2008 any more. The US government is holding record amounts of debt and countries around the world are now trying to become independent of it. This includes its bond markets on which the dollar relies upon to give it its reserve currency status, which in turn is what gives it its power to print money and bail industries out. If something happens that requires Big Tech to be bailed out and international bond holders decide the US is no longer reliable, it could very well end up triggering the collapse of the US dollar as the world's reserve currency and the downfall of the US as we know it.
The stock market will lose faith in AI companies, which will crash the stock price of Google, Microsoft, Oracle, Nvidia and CoreWeave. Investors will lose billions, many of those investors are pension funds. Any AI projects that aren't already profitable will shutdown.
And, because AI is currently what prevents the US economy from being in a recession (at least that what some people speculate), the US economy will stumble, which means that everyone else will to.
Is it unclear? Compared to other times a "too big to fail" industry failed?
If OpenAI crashes, for example funding stops, they go broke, fall behind, nobody buys anything, then all the money they invested for data centers or demand they created for NVIDIA chips and compute collapses. That creates surplus of hardware, causes lots of construction/buildout / stockup orders to get cancelled, and the whole thing ripples as suppliers and construction and data center providers etc etc suddenly lose a ton of anticipated profits.
Share prices drop as people dump to protect their portfolios, anticipating dips in the prices because share prices will drop as people dump to protect their portfolios (I'm not kidding).
Given that the big 7 AI companies are basically _all_ of the market growth lately, it doesn't even take a serious panic / paranoia episode to see the market itself stagnate or significantly regress, as people pull from anything AI related, and then pull from the market itself anticipating the market will fall.
That's different from saying that boeing is too big to fail for example. The US can't accept to lose its only major commercial aircraft manufacturer. Or Intel for similar reasons.
But what you're describing is about keeping the AI bubble from popping. Can a bubble really be too big too fail?
What I'm describing is the scare-quotes too-big-to-fail. Some actually are. But we use that term to mean anything that might cause significant economic trouble nowadays.
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