I’m late to this, but could a kind soul explain what I’m missing out on by using urxvt? I settled on it years ago and haven’t changed anything.

I’ve learned a lot by breaking things. By making mistakes and watching other people make mistakes. I’ve writing some blog posts that make me look real smart.

But mostly just bang code together until it works. Run tests and perf stuff until it looks good. It’s time. I have the time to write it up. And check back on what was really happening.

But I still mostly learn by suffering.

I just have to say “tastes like c” is a visceral way to say it. I approve.

I remember it being small probes, big earth mounted pushing laser, and not stopping at the destination.

I’ve stopped using stash and mostly just commit to my working branch. I can squah that commit away if I want later. But we squash before merge so it doesn’t tend to be worth it.

It’s just less things to remember.

I’m just a hacker. I’ll never be a thought leader. But I am passionate about my work. And my kids.

I love solving the problems. I have a few posts on the company blog but they put a chat bot on it a while back and didn’t care that it felt offensive to me.

But I’m here, reading this. Maybe I’m grey matter.

I recommend it. Try to go in blind.

Try your local library.

I feel lucky to have avoided this so far. It’s really not like this on my team. I write a fair bit of code and review a ton of code.

I love that proco being a pig is treated as mildly weird. His relationship with the fascist government is more important to the plot than that he is a pig. No one else is an animal. It’s just a thing that happened to him. You can tell it’s a big deal to him, but no one else really cares. You could remove him being a pig and the story still works fine. It just makes the regret and inadequatecy more obvious.

I think I like Howel’s Moving Castle more. But it’s close. That one gave me a whole author.

I think it was the EPA’s National Compute Center. I’m guessing based on location though.

When I was in highschool we toured the local EPA office. They had the most data I’ve ever seen accessible in person. Im going to guess how much.

It was a dome with a robot arm that spun around and grabbed tapes. It was 2000 so I’m guessing 100gb per tape. But my memory on the shape of the tapes isn’t good.

Looks like tapes were four inches tall. Let’s found up to six inches for housing and easier math. The dome was taller than me. Let’s go with 14 shelves.

Let’s guess a six foot shelf diameter. So, like 20 feet circumference. Tapes were maybe .8 inches a pop. With space between for robot fingers and stuff, let’s guess 240 tapes per shelf.

That comes out to about 300 terabytes. Oh. That isn’t that much these days. I mean, it’s a lot. But these days you could easily get that in spinning disks. No robot arm seek time. But with modern hardware it’d be 60 petabytes.

I’m not sure how you’d transfer it these days. A truck, presumably. But you’d probably want to transfer a copy rather than disassemble it. That sounds slow too.

Not looking at the man page, but I expect you can limit it if you want and the parser for the parameter knows about these names. If it were me it’d be one parser for byte size values and it’d work for chunk size and limit and sync interval and whatever else dd does.

Also probably limited by the size of the number tracking. I think dd reports the number of bytes copied at the end even in unlimited mode.

It’s cute. Maybe my favorite use of ai I’ve seen in a while.

I wish it looked at contributions instead of just the profile page. Much more accurate roasting.

What a fun tool! It only looks at your public projects rather than your activity. I think. But it really is neat. Good use of ai. Nik approved.

Code talker?

Yeah! Every place I saw that did it seemed quite different from the US. I just thought it was neat that there are places trying this.

Mine looks a little like that. It’s my job though. Everything’s on GitHub.

Mexico does that! It doesn’t look super common but it’s a thing.

I think the technologies are pretty bubble based. We are 80/15/5 Mac/Linux/Windows and it’s been 15 years since I worked on a software team that’s thats mostly windows. But I talk to them from time to time. But if anything Mac feels underrepresented compared to my bubble.

I admit I’m probably biased in favor of believing the survey is representative. I work on one of the databases.

Speaking of databases, I don’t work on SQL Server but can see the appeal. It implements a huge array of features and it’s documentation is pretty good. Folks have told me it’s a lovely database to use.