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I don’t really see a problem with it either. I pay more in some other countries too as a tourist. Here it’s framed as making tourists pay more, but it could also be framed as keeping the museum accessible for your population which does not necessarily have the same budget for museums as an international tourist on the trip of their life.

But: Tourists absolutely do pay taxes. There are accommodation taxes on hotel stays (in France this can be up to ~15 Euro per person per night), they pay consumption taxes like VAT, and there are arrival and departure taxes or airport taxes.

In principle, yes, but isolated unvaccinated communities can still have major incidents just from one contact. E.g. Germany is at around 97% and a couple weeks ago there was a small outbreak involving a bunch of unvaccinated children.

I’ve had to fix things with customs so often when ordering items from non-EU online shops… if they can intercept my books and hold them until I explain that they’re books, then they can intercept toys too.

That’s funny because I grew up with math teachers constantly telling us that we shouldn’t trust them.

Normal calculators that don’t have arbitrary precision have all the same problems you get when you use floating point types in a programming language. E.g. 0.1+0.2==0.3 evaluates to false in many languages. Or how adding very small numbers to very large numbers might result in the larger number as is.

If you’ve only used CAS calculators or similar you might not have seen these too since those often do arbitrary precision arithmetics, but the vast majority of calculators is not like that. They might have more precision than a 32 bit float though.

I mean, most calculators are wrong quite often

What bothers me the most is the amount of tech debt it adds by using outdated approaches.

For example, recently I used AI to create some python scripts that use polars and altair to parse some data and draw charts. It kept insisting to bring in pandas so it could convert the polars dataframes to pandas dataframes just for passing them to altair. When I told if that altair can use polars dataframes directly, that helped, but two or three prompts later it would try to solve problems by adding the conversion again.

This makes sense too, because the training material, on average, is probably older than the change that enabled altair to use polars dataframes directly. And a lot of code out there just only uses pandas in the first place.

The result is that in all these cases, someone who doesn’t know this would probably be impressed that the scripts worked, and just not notice the extra tech debt from that unnecessary dependency on pandas.

It sounds like it’s not a big deal, but these things add up and eventually, our AI enhanced code bases will be full of additional dependencies, deprecated APIs, unnecessarily verbose or complicated code, etc.

I feel like this is one aspect that gets overlooked a bit when we talk about productivity gains. We don’t necessarily immediately realize how much of that extra LoC/time goes into outdated code and old fashioned verbosity. But it will eventually come back to bite us.

If I get a choice, I think i would prefer my country to be united by hydrogen and fire

Well it’s not improving my productivity, and it does mostly slow me down, but it’s kind of entertaining to watch sometimes. Just can’t waste time on trying to make it do anything complicated because that never goes well.

Tbh I’m mostly trying to use the AI tools my employer allows because it’s not actually necessary for me to believe that they’re helping. It’s good enough if the management thinks I’m more productive. They don’t understand what I’m doing anyway but if this gives them a warm fuzzy feeling because they think they’re getting more out of my salary, why not play along a little.

What gets me is that even the traditional business models for LLMs are not great. Like translation, grammar checking, etc. Those existed before the boom really started. DeepL has been around for almost a decade and their services are working reasonably well and they’re still not profitable.

As someone who sometimes makes demos of our own AI products at work for internal use, you have no idea how much time I spend on finding demo cases where LLM output isn’t immediately recognizable as bad or wrong…

To be fair it’s pretty much only the LLM features that are like this. We have some more traditional AI features that work pretty well. I think they just tagged on LLM because that’s what’s popular right now.

I played it on Steam Deck and it was fine. And the Switch 2 is more powerful than that, although it also has a much higher display resolution.

Sometimes mandatory web proxies still allow direct connections to port 443 so as to not break https, which in return means as long as your connection is to port 443, that proxy will pass it through without interfering.

I used to run sshd on port 443 for this reason back when I regularly had to work from client networks.

I played MIDI Maze on Atari ST as a kid, that was long before Quake…

Later in high school we played Doom over IPX.

On Linux, rm can delete empty directories with -d too, not just with -r.

rmdir is the counterpart to mkdir, which creates empty directories, so of course it can only remove empty directories. After all mkdir can’t create full directories either. There however is rmdir -p as a counterpart to mkdir -p, so if there is something in the directory, you can use that, as long as the something is an empty directory.

They wants us to live short lives fighting illnesses and amongst ourselves, instead of them

I don’t get it… if he doesn’t like gay sex why doesn’t he just stop having gay sex and call it a day

Problem is they’ve been smoking whatever Google AI recommends for too long now

EasyMesh exists. But not many companies implement it.

The article says it started on a Friday morning in Minnesota. It’s clear that that’s when the attack started and not a case of the first guy starting work that day discovering that it happened, because the article also says that they tried to contain it as it was going on, but ultimately failed.

Minnesota is at UTC-5 and China is at UTC+8, meaning when it’s morning in Minnesota, it’s already 13 hours later in China, i.e. middle of the night.

On the ground they only arrived 2 months after the USSR captured Berlin, but that doesn’t mean they didn’t do any bombing runs before…