Ah, ok. Thank you.

I’m confused by who is saying what in this comic.

I made a sorting algorithm visualizer.

https://sciactive.github.io/libsortjs/demo/

It’s not really any different than a lot of other sorting algorithm visualizers. It has some additional features, like different visualizations, but it doesn’t have sound.

I didn’t do it to make something better though, I did it to make it myself. I wanted to implement all of those sorting algorithms myself, which was very fun.

I don’t know if you consider that art, but I think it can be beautiful, so maybe.

(Btw, it will happily crash your browser if you try to sort an enormous list using a really inefficient algorithm, so be careful.)

Haha, just kidding. They’re all furries.

And they should obey the license of the code.

Maybe I need to add yet another reason to

https://sciactive.com/2026/01/21/our-stance-on-ai-in-email/

VDO Ninja is really nice. My friend self hosts it, and it didn’t seem that hard.

Looks like an ASUS A320M-C based on the very hard to read text and the layout.

https://motherboarddb.com/motherboards/378/

So an early AMD AM4 motherboard.

Have you ever heard of anyone dying because their ICE car caught fire?

- You, yesterday.

You didn’t even bother to read my reply correcting your misinterpretation of that paragraph about all highway vehicles, so again, there’s no point in continuing. You are not arguing in good faith.

You were right to doubt that it’s true, because it very much isn’t.

Examining electric car accident statistics reveals that occupants of electric vehicles are safer than occupants of gasoline-powered cars or trucks. For example, you are 40% less likely to be injured while using an EV than while driving or riding in a traditional internal combustion engine vehicle.

This lower risk of injury also includes the risk of a vehicle catching fire. Internal combustion engine vehicles are approximately 50 times more likely to catch fire in an accident compared to EVs — there has been one Tesla fire for every 210 million vehicle miles traveled, while an internal combustion engine vehicle catches fire once every 19 million vehicle miles traveled.

- https://seriousaccidents.com/blog/electric-car-accident-statistics-facts-are-accidents-more-likely-in-evs/

You’ve made it pretty clear that actual statistics aren’t enough for you to change your mind, so I don’t think there’s any point in continuing this conversation.

It literally does. Thousands of times every year. Car crashes can be pretty fucking horrible, man. Fuel spilling out of the tank is fairly common in bad accidents.

Read carefully.

…among all highway vehicles…

That paragraph is about both trucks and cars. The average car has what, a 12 gallon tank of gasoline? That’s an incredible amount of flammable liquid.

What are you on about that electric cars have to be more dangerous for you? Are you heavily invested in an oil company or something?

Did you read it?

As indicated in Figure 13, large truck fires were more likely to begin with the ignition of a tire than other items. Tire ignitions were also more common in bus fires than car fires. The two most common items first ignited among all highway vehicles were (1) electrical wire or cable insulation and (2) a flammable liquid or gas in or from the engine or burner. Incidents where the item first ignited included a flammable liquid or gas were the deadliest. An estimated 50 percent of the civilian deaths occurred in these incidents.

Turns out, when a big tank of gasoline is set on fire, it’s deadly.

A fuel tank often does burst into flames if it is torn open and sprays fuel into the air or on the ground, though. Watch enough NASCAR and you’ll see it for yourself.

I mean, being covered in gasoline that is on fire is generally not an easy thing to survive.

Have you ever heard of anyone dying because their ICE car caught fire?

Yes.

• What AI is good for (boilerplate, tests, docs, refactoring) and what it’s not (security critical code, architectural changes, code you don’t understand)

Incorrect. AI is only good for boilerplate. Letting it write tests will give you broken and incorrect tests. Letting it write docs will give you incorrect docs. Letting it refactor will give you bugs. AI is passable at generating boilerplate.

Well, it’s also good at writing code to use as the “Incorrect” part of a Correct/Incorrect example.

I asked Gemini to write just the most basic use case for my tokenizer library the other day (checking to see if a search query is found in a set of already computed tokens), and it couldn’t even get that right, but boy was it absolutely certain that it did. Pathetic. If it were an unpaid intern it would be fired.

True! Everyone gets to use what they like. :) It’s one of the many reasons I switched from winblows.

Yeah, I meant that I don’t use Gnome on my virtual PCs, because it’s not as easy without the mouse corner stuff. KDE is easy even without the mouse corner stuff.