Explore how the natural process works all you want. But absolutely no way in HELL should we ever try to replicate it ourselves. We have no idea what we could break by doing that, and there's no way to do a test. If we someday get a chance to engineer the climate of another planet, we can run some tests and see what works. But we can't do it on the only one we live on. So yeah, I'll risk the effects of climate change over the effects of whatever we try to do to hide the symptoms of it. I absolute guarantee you that the result will be worse (since we wouldn't actually be fixing climate change, just temporarily masking the symptoms at best).

Better idea- we don't go into geoengineering at all. Unless we have literal test earths, there is no way we can accurately predict all the changes we'd cause. I'd rather take my chances in whatever world climate change takes us into than my chances on "let's shoot a bunch of junk into the air and oceans, that ought to fix it".

Hell, I just want to be able to keep things in the trunk and have the car there and available when I'm ready to go, and not 10 minutes later when one is free. Those reasons alone are why I'd never swap to robo-taxis for general use.

Part of the problem is you can't really research this. Earth is a complex system. We can't really replicate it. Even if you create a small scale experiment with a heat/light source and a ball of gasses- how do you know what will happen when you scale up and add in all the geographical and ecological quirks of the planet? We'd be more likely to fuck things up than to help things.

Because on premise has its own cost, and it's not just money. You need to hire admins, you need to build out physical infrastructure including racks, cooling, and network hookups. You need physical rented space. You need to accurately predict growth to buy hardware ahead of needing it. The benefit of the cloud is that it's easy, and a lot of mistakes you can make are easily fixable by spending more. Even if the cloud is slightly more expensive its still frequently the right choice. Your scale needs to be enough that it's significantly cheaper to make it worth running your own datacenter.

They did a survey of 25000 people and 25% used Python less than a year? That doesn't sound representative at all. It sounds like the survey either targetted or was advertised to a very young group with lots of students, and any results from it need to be weighed like you would a political poll.

ANd if you can really charge in 9 minutes, any wait that you would have now will be a fraction of the current time. In fact if you need In fact avg wait time should be size_of_line/number_of_chargers*4.5 minutes. So you'd almost never be waiting more than 5. minutes.

Hydrogen will never happen. Why? Because it's a really stupid idea to have a highly flammable and explosive with oxygen gas under pressure in a moving vehicle where the container can easily be damaged in an accident.

Now you're going to say "what about gasoline?" Gasoline isn't under pressure and it's almost impossible to make a fuel air explosion without doing so on purpose- the ratio needs to be exactly right. It can catch on fire, but due to it being liquid rather than compressed gas it tends to be something you can run away from rather than a Hindenberg situation.

I'd say its absolutely useless for that job. SO you have something you don't know how to do, and don't know how to evaluate, and you have a program that sometimes kind of can do things, but its trained on random data with no actual understanding of what it's doing, and you're trusting it to work? I'll take the result of a google search over that any day of the week. At least then I'll get several options and can compare them to see what feels right. About the only people who could use this are so technically clueless that they can't od the job anyway, and trusting the AI is rolling the dice with a random answer that may or may not work. Or have massive security holes. Or even remotely solve the problem. At current level it's at best a mediocre replacement for a google search, and it won't be much better in our lifetimes.

Not really, it just kicks the problem out a level. There's a similar mechanism on Android. It's probably in the top 5 things new developers don't understand and need to be taught in detail. It's doable, if the devs writing the program understand and correctly use the system, but it's not free or anywhere near a solved problem.

No need for the /s there. Google has been hyping Fuschia for almost a decade, dropping lots of hints that it will eventually replace Android (or Android will move from Linux to Fuschia as its base) and it's yet to actually do anything. It will be killed as a project eventually, there's just nothing of value there.

A lot of startups are, but that's probably because they never had an office to begin with. Having recently job searched, I found 3 public tech companies hiring fully remote- Square, Shopify, and Pintrest. And at least one of those is now in a hiring freeze.

Interesting new grad/experiences breakdown there. Yeah, I've wondered since the start of the pandemic how the hell you train up new grads. I know if you dropped me in a fully remote environment back when I was 21, I would have failed completely. I don't think it's necessary for hiring an experienced engineer, but I can definitely see it making things easier when onboarding. I would have killed for someone in the next desk to ask a couple questions to without the delays and awkwardness of slack conversations.

That only works if the remote jobs are still out there. If the companies are moving to hybrid or in office, you can search all you want and not find enough remote jobs to absorb all those people. Having recently done a job search, I found 1 public company that was hiring fully remote. The rest were in office or hybrid. Startups were hiring remote, but that means taking a 6 figure paycut and betting on their stock being worth something some day. Some people will take that, but not many.

That's not something that works in real life. Its not that easy to relocate a physical business, it takes time and money. There also needs to be a critical mass of customers. In a business district, you may have 100K+ people within a mile as a possible customer base. If you move that to a single location elsewhere, you've now decreased your customer base by 80% due to lower density, lost most of your delivery business because the distances no longer make sense, have no reputation in the area so no established customers, and are competing with the much cheaper and easier option of eating at home. It's a change that the market can adapt to, but it will take a decade and many, many businesses will fail or close in doing so (a multiple of the normal failure rate).

Are you going off guy feeling here or have you actually looked at numbers? Because the official numbers for every major US city is showing increasing occupancy rates. Well below pre-pandemic numbers, but well over 2021 and it's been increasing all year. Similar statistics for public transit use- well below pre-pandemic, but increasing especially during rush hours. The return is slowly happening.