On the other hand, TAI does not take into account the variations in Earth’s rotation speed, which determines the true length of a day. For this reason, UTC is constantly compared to UT1. Before the difference between the two scales reaches 0.9 seconds, a leap second is added to UTC.
On average, Earth has been slowing down a bit over the past decades, so UTC is currently running 37 seconds behind TAI.
Does it do it well, though?
AI’s not bad, it just doesn’t save me time. For quick, simple things, I can do it myself faster than the AI. For more big, complex tasks, I find myself rigorously checking the AI’s code to make sure no new bugs or vulnerabilities are introduced. Instead of reviewing that code, I’d rather just write it myself and have the confidence that there are no glaring issues. Beyond more intelligent autocomplete, I don’t really have much of a need for AI when I program.
It’s very much intended. Cinnamon was forked from GNOME 3 when it was released. It was intended to preserve the old GNOME 2 layout, but ended up evolving into the Cinnamon we know today.
National Guard listens to the state by default, as each state has its own National Guard. However, the federal government can intervene at any time and give them new orders.
I guess they’re just choosing not to do anything? IDK.
No problem! Actually, System76 is currently working on rewriting the COSMIC desktop in Rust (or really, just writing a new DE in Rust). It’s a pretty ambitious project that should hopefully get released some time this year. I wouldn’t be surprised if the lead redox dev was working on it too: low-level Rust knowledge is exactly what they need.
Well, think microkernels as the bare minimum. They give you just enough to write your own OS on top of that: only the bare essentials run in kernel space, whilst everything else runs in user space and has to communicate with the kernel. Compare this to a monolithic kernel, like the Linux kernel: here, the whole operating system is run in kernel space, which means that data doesn’t need to be moved between user and kernel space: this makes the OS faster, but at the cost of modularity. Redox doesn’t use the Linux kernel, it uses its own microkernel written in Rust.
Edit: A good example would be driver. In a microkernel, these run separately from the kernel and interact with it when needed. In a monolithic kernel, these drivers would be included in the kernel itself. They both have their pros and cons: if you’re interested, feel free to look it up.
Basically, it’s just some cool X11 magic that uses a matrix transformation to rotate the screen.
The worst of both worlds…
Freaking love TUIs, it’s like they took the convenience of a GUI and the efficiency of the CLI and merged them. As a Neovim and Lazygit user myself it’s amazing what I can accomplish in but a few keypresses.
Shout out to Lazygit for letting me stage individual lines
Better yet, git commit -p
“feat: stuff”
Guilty of this one myself.
Commit more often. Maybe work in a different feature branch, and don’t be afraid to commit your half-working crappy code. If it’s a personal project/fork, it’s totally acceptable to commit often with bad commit names and small unfinished changes: you can always amend/squash the commits later. That’s how I tend to work: create a new branch, work on the feature, rebase and merge (fast forward, no merge commit). Also, maybe don’t jump around working on random features :P
Yeah. Most of the time I use comments in my algorithms, as they often use some weird optimized black magic which are difficult to understand without comments.
For those who don’t understand, he mea Segmentation fault (core dumped)
IDK honestly hacked together a config over the weekend and have been using it for a couple months now. Definitely not perfect but it works pretty nicely. Occasionally use Helix as my backup editor, but eventually I just learned to live with my “good enough” config.
(Seriously, a lot of configs are pretty bloated. Not every little thing really needs to be optimized…)
Are you kidding? They opened the Berlin Wall!
With great screen estate comes great window management…
Also, researchers asking ChatGPT for long lists of random numbers were able to extract its training data from the output (which OpenAI promptly blocked).
Or maybe that’s what you meant?