In short, the US cannot functionally be independent on fossil fuels even if we extracted every drop of oil within our borders--because we literally cannot use all of it, and most of it would be wasted just sitting around.

I think it comes from a position of arrogance/ego. I'll speak for the US here, since that's what I know the most; but the average 'techie' in general skews towards the higher intelligence numbers than the lower parts. This is a very, very broad stroke, and that's intentional to illustrate my point. Because of this, techie culture gains quite a bit of arrogance around it with regards to the masses. And this has been trained into tech culture since childhood. Whether it be adults praising us for being "so smart", or that we "figured out the VCR", or some other random tech problem that literally almost any human being can solve by simply reading the manual.

What I've found, in the vast majority of technical problem solving cases that average people have challenges with, if they just took a few minutes to read a manual they'd be able to solve a lot of it themselves. In short, I don't believe as a very strong techie that I'm "smarter than most", but rather that I've taken the time to dive into a subject area that most other humans do not feel the need nor desire to do so.

There are objectively hard problems in tech to solve, but the amount of people solving THOSE problems in the tech industry are few and far in between. And so the tech industry as a whole has spent the last decade or two spinning circles on increasingly complex systems to continue feeding their own egos about their own intelligence. We're now at a point that rather than solving the puzzle, most techies are creating incrementally complex puzzles to solve because they're bored of the puzzles that are in front of them. "Let me solve that puzzle by making a puzzle solver." "Okay, now let me make a puzzle solver creation tool to create puzzle solvers to solve the puzzle." and so forth and so forth. At the end of the day, you're still just solving a puzzle...

But it's this arrogance that really bothers me in the tech bro culture world. And, more importantly, at least in some tech bro circles, they have realized that their target to gathering an exponential increase in wealth doesn't lie in creating new and novel ways to solve the same puzzles, but to try and tout AI as the greatest puzzle solver creation tool puzzle solver known to man (and let me grift off of it for a little bit).

An AI can probably do an 'okay' job at summarizing information for meta studies. But what it can't do is go "Hey that's a weird thing in the result that hints at some other vector for this thing we should look at." Especially if that "thing" has never been analyzed before and there's no LLM-trained data on it.

LLMs will NEVER be able to do that, because it doesn't exist. They're not going to discover and define a new chemical, or a new species of animal. They're not going to be able to describe and analyze a new way of folding proteins and what implication that has UNLESS you basically are constantly training the AI on random protein folds constantly.

Do I want the AI Agent to take my bank account and automatically pay some bill every month in full? What if you go a little over that month due to an emergency expense you weren't prepared for? And it's not a matter of "I don't have enough in my bank account for this one time charge", but it's "I don't have enough in my bank account for this charge and 3 others coming at the end of the month." type deal.

Agents aren't going to be very good at that. "Hey I paid $3,000 on your credit card in order to prevent you from incurring interest. Interest is really bad to carry on a credit card and you should minimize that as much as possible." Me: "Yeah but I needed that money for rent this month." Agent: "Oh, yeah! I should have taken that into account! It looks like we can't reverse the charge for the payment."

Yeah, no fucking thank you LOL.

Nonetheless, a fair point that deserves analysis. (My vote, to be fair, is ask the community what they want and put it up to a vote. With honest information on safety data versus revenue generation)

They called other officers, ran the plate, ran the VIN, ran the plate, ran the VIN. I dunno I think we sat there for almost an hour before they told me why they pulled me over and what was up.

At what point is automated enforcement a good or a bad thing for law breaking? We have yet to grapple with that as a society, and the short answer is there's no easy answer to this problem. Both for precisely the reason this article calls out (that overnight location of car is not a 100% accurate representation of residency, and fixing it seems like a mess); but also because people ARE inherently selfish and REALLY do not like the rules applying to them equally.

A great many people in the United States, particularly white (sorry, I'm going to bring race into this because it's important) enjoy some level of flexibility on what laws they follow and when. Certainly more flexibility than the average black experience. In fact, this problem is so bad that states like California have had to institute policies that allow things like license plate lights being out to exist because the profiling is so catastrophically bad that it's completely unfair.

So now, we have an automated system that at least tries to provide some level of fair enforcement. At least for now, things like speed cameras, red light cameras, license plate readers, etc. don't appear to openly consider racial bias in the immediate decision making process on whether the law is enforced or not. (There are other biases, of course, and even indirect bias with regards to where these things are placed, but I'll digress a bit here).

But even aside from the racial divide, the class divide on enforcement is a problem. And the upper classes have generally enjoyed a level of insulation from complying with laws, which just continues to go up the higher you climb (See: Epstein files). But that's on the more extreme end.

At any rate, better enforcement of laws that are now crossing the lower to middle class divide because automation allows us to do so is certainly an interesting social problem.

This has severe ramifications for internet communications in general on forums like HN and others, where it seems LLM-written comments are sneaking in pretty much everywhere.

It's also very, very dangerous :/ Because the structure of the writing falsely implies authority and trust where there shouldn't be, or where it's not applicable.

Wonder when some enterprising OSS dev will rebrand dynamic linking in the future...

I think in practical terms I think it helps limit the extent of the damage by giving everyone a social contract that they can point to in order to keep the "others" in check. In reality it's pretty variable. But I suspect having agreed upon social contracts tilt the odds towards the favored outcome over extended datasets. If that makes sense.

But there are other uses cases, like cloud2butt.

It's just not commonly used for the reason the other person mentioned (share buttons between apps that are file type aware)