Not necessarily! I always run ln -s '/usr/bin/$EDITOR' $(which $EDITOR) after a fresh install, so I have a valid executable on the path called $EDITOR.

Of course, then I have to make sure to add export EDITOR=\$EDITOR to my .bashrc. (Obviously.)

I haven’t done too much work with WASM myself, but when I did, the only languages I saw recommended were Rust, C++, or TinyGo. From what I’ve heard, Rust and C++ are smoother than TinyGo. Garbage collected languages usually aren’t great choices for compiling to wasm because wasm doesn’t have any native garbage collection support. That limits your selection down a lot.

But another option you may want to consider is Nim. As I understand, it compiles to C, so any C->Wasm compiler should theoretically work for you as well. I did a quick search and wasn’t able to find any great resources on how to do this, but you might get a bit more lucky. Good luck!

You’re probably right. I think COBOL development is one of the cases where the crazier stories are the ones that bubble to the top. The regular scene is probably more mundane.

I do think there are a few advantages to learning COBOL over C++. COBOL seems to be much stickier - companies that use it seem much more hesitant to replace it than a lot of the companies that use C++, and as a result, they will probably get more desperate. And while there’s definitely a lot more C++ out there than COBOL, I have to imagine that the number of people under 50 that use COBOL is probably tiny, while C++ still has a very large userbase. On the other hand, consulting depends a lot on your portfolio, references, and past accomplishments, and nobody’s going to pay 1k EUR/USD/etc. per hour (exaggerating, obviously) if you don’t have any credentials. It takes time to build that up.

Ultimately, I do think you’re pretty spot on, but we’ll have to see. This is more just a fantasy I tell myself to make it seem like retirement is closer than it probably is…

I fantasize about being one of those extremely well-paid Cobol consultants when I reach the later stages of my career. Hoping that I can earn a full year’s salary in 3-4 months and take the rest of the time off as a semi-retirement. It would be easier said than done, but it’s a dream that helps me get through the days when I get sick of the daily grind.

It was always obvious to me that as long as I was using closed source software that any day could come when the vendor would screw me over. In fact, it could have been running it with bundles and bundles of spyware already and I had no way of knowing it. So I pledged to start using open source software only, to make sure that wouldn’t happen. First, I migrated all my desktop applications to open source alternatives. Then I finally made the switch.

I don’t have any suggestions, but this is incredibly impressive. I haven’t heard of jmp.chat before, but it sounds like you can create multiple identities using different phone numbers - is that correct?

If so, that sounds amazing. I really hate how the modern world is trying to force people into a singular identity online, and the way that they’re using phone numbers to do it. This sounds like it could be a pretty decent method to avoid that.

This is very interesting! Things like this make me wish programmers would give functional^W declarative programming more of a chance. I’ve long fantasized about being able to write programs as declarative code that the computer can optimize automatically without human intervention. When you implement your program in more restrictive (ie. stateless) paradigms, you can more easily reason about the code, and thereby make it easier to optimize or run in different environments.

SQL is a great example of this - when you look at some of the optimizations that servers like PostgreSQL can do under the hood, this is because the language inherently limits what you can do so the actual system executing your instructions can do different things with it for better performance and reliability. Things like this are what make query optimizers possible, and it’s really fascinating if you actually read carefully what query analyzers report (beyond just checking whether your indices are being used or not).

Beautiful chart. Thanks for sharing!

+1, I would recommend neovim with lazyvim. The documentation is excellent, and it’s very easy to set up.

https://www.lazyvim.org/installation

What exactly is it that people obsess over? The desktop environment and terminal customisation? Setting up NetworkManager with nmcli? Using Vim to edit a .conf file?

Welcome to the crowd! Eventually, you realize that an operating system is just an operating system: something you use to get work done, and the less you notice it, the better it’s doing its job. The pride of setting it all up mostly ends very shortly after you’re done. At that point, you realize that pretty much all distros are the same, give or take.

That said, there are always moments that make you realize that your OS is amazing. When you’re faced with a new and difficult task that you don’t know how to achieve, then you look at your distro’s documentation and solve it in a few elegant steps. And I’m not an Arch user, but that’s when the Arch wiki will really be your friend, as well as all the other resources that Arch has for its users. I can’t think of examples of these kinds of moments because they’re so rare, but those are the moments that feel great and really make you appreciate your OS.

One for every current ~0.5% market share!

I believe you’re thinking of Gentoo. But it seems that you can get precompiled kernels in Gentoo these days.

+1. systemd is something the Linux ecosystem really needs, but its execution is abysmal. We should be designing around standards so the best product can win. We should not be designing around singular implementations that could make it easy for Red Hat to execute a EEE strategy to consolidate Linux on the workstation.

I can’t wait till a crowdstrike-like flaw is exposed in systemd so we can all see how terrible^W wonderful monocultures can be.

Interesting! Sorry, I don’t know why I thought you were using swipe keyboards, it must have been stuck in my memory from reading other comments. I definitely agree that pressing the buttons was a little annoying, but manufacturers could probably make softer buttons if they were willing to put the money into developing them.

Anyway, I really miss the phone I had from about 2008-2010. It had two sliders that moved in orthogonal directions. One of the slide directions revealed a standard 12-button phone pad, while the other had a 4-row keyboard. And yet, I’m pretty sure it was under 1.5cm, so not too large. It was definitely easier to keep in my pocket than current phones!

If it weren’t for reading Lemmy/RSS feeds and a camera, I’d probably be going back to dumb phones for my next one…

But what’s the error rate? I could type at 200 words per minute (even on a phone!!) if I didn’t care about how many typos I was making. And swiping keyboards get confused incredibly easily. The error rates are especially bad when you’re writing words that only use a single row of keys - on QWERTY keyboards for example, try writing something like “type”, and you could get that, or you might get something else, like wipe/write/ripe. Other groups could include things like tip/top, pit/pot, wit/wire and the selected word will be wrong almost as frequently as it’s right. And autocorrect systems can’t really correct for things like when you mean to press enter and hit the backspace key instead. Plus, their suggestions are generally just very stupid. So while buttons take longer to press on physical keyboards, the reduced error rate makes typing speed about the same in my experience.

Plus, with physical buttons, you get tactile feedback, so you can tell when your fingers are slightly off and adjust them, whereas on a flat surface, you have no idea whether you pressed the correct button or not. You have to stare straight at the screen to make sure every press is correct, which is exhausting and bad for your eyesight. I feel a lot more eyestrain from simply typing on phones, whereas with physical buttons, I didn’t even have to look at the screen, and I could look at something else around me while typing. And don’t get me started on how many calls I’ve missed because I accidentally hit the hang-up button, or couldn’t find the accept call button - not a problem when you have physical buttons!

Regarding screen real estate, all you need is a slide-out keyboard. They work great!

There are a few downsides to physical keyboards, but in my experience, they’re far superior to non-keyboard devices. But what can you do - in the 21st century, practicality never matters, it’s just all about aesthetics and nothing else…

Just in case this comment didn’t make it explicitly clear, you can just invoke the python binary inside your venv directly and it will automatically locate all the libraries that are installed in your virtual environment.

To show how this works, you can look at the sys.path variable to see which paths python will search for modules when you run import statements. Try running python3 -c 'import sys; print(sys.path)' using your system python, and you will only see system python library paths. Then, try running it again after replacing python3 with the full path to the python3 binary in your venv, and you will see an additional entry in the output with the lib directory in your venv, which shows that python will also look there for modules when an import statement is executed.

From my reading, it sounded like there was some controversy around whether it was ready to be merged it not. It sounded like some people felt that it wasn’t ready, but Linus decided to overrule them and merge it, saying it was ready enough and that merging it would help them improve it more rapidly.

Don’t worry everyone, I’m here to help:

Mail

Garbage

Outlook

Hot Garbage

Outlook (new)

Shit-tier garbage

Glad to be of service! Until next time…

This is quite cool. I always find it interesting to see how optimization algorithms play games and to see how their habits can change how we would approach the game.

I notice that the AI does some unnatural moves. Humans would usually try to find the safest area on the screen and leave generous amounts of space in their dodges, whereas the AI here seems happy to make minimal motions and cut dodges as closely as possible.

I also wonder if the AI has any concept of time or ability to predict the future. If not, I imagine it could get cornered easily if it dodges into an area where all of its escape routes are about to get closed off.

This is quite cool and a very interesting read. I’m not sure if it’s something I would want to use in a real project, because it looks like you’re basically inventing a new language within Python’s type system itself, which is a little weird. That said, I feel like I learned a lot from reading this, and it was a very interesting demonstration of what you can do with Python’s type-checking system.

There is no way to make a network request faster than a function call.

Apologies in advance if this it too pedantic, but this isn’t necessarily true. If you’re talking about an operation call that takes ~seconds to run, then the network overhead is negligible. And if you need specialized hardware for it, then it definitely could be delegate it out to a separate machine over the network. Examples could include requiring a GPU, more RAM, or even a faster CPU if your main application is running on more power-efficient CPUs.

I’m not saying that this is true in every case - they are definitely niche cases. But I definitely wouldn’t say that network requests are never faster than local function calls.