I just set it so it never grabs focus and remembers its location. That was when I click to another tab the PiP window doesn’t take over focus from the browser.

A couple features in Arc I would like to see coome to this, but it runs on Linux so I am dailying it on my real computer. So far it has been great and a couple KDE tweaks even made PiP work fantastic.

Yay, marathon Etho!!

I got Ritualist V, lost my first 4 placement matches really badly. Only manages a 2/7 win rate in the end.

This is not even true, they rewrote the engine to support native 64-bit precision to let them fit large spaces, they didn’t just make everything small. They basically employ all the people that used to make Cryengine since Crytek went out of business, so the engine they are building is actually pretty good.

Excited to watch !!

My initial ranked timeslots were terrible, so this is a welcome change for me.

nooooo!!! My Haze laning

Yea he definitely doesn’t, they are prototypes and cost $10k to make and are only available as a private demo.

They are AR, it is the Orion prototype.

What is so wrong with people being excited about a language they like? I have always found the Rust community extremely welcoming and caring.

Rust is named after the fungus, not oxidized metal

I currently am compiling Arch for Arm manually using some third party packages to run in distrobox on Asahi Linux (M1 Mac Fedora based distro). Hopefully this should mean I won’t need the manual compile step anymore, and hopefully we start seeing more general Arm support for more Linux apps.

Wow, didn’t expect all the winter drop features already.

What are you signing into where you need a password but don’t have internet?

Abrash is a snake

Are all the commenters paid by the video game industry, seriously what is going on there.

So far I have only really scratch built backprop. And had severe performance problems with Burn trying to do something it probably wasn’t built to do. Once I get further in makemore I should have a better idea.

Been working through Andrej Karpathy’s ML lectures in Rust. The backprop one went pretty well, but I had to learn how to do type indirection and interior mutabilty because of the backprop graph structure. I’m now on the makemore lecture, but having a lot of trouble building the bi-gram model in Burn (the rust native ML framework), because it seems like directly incrementing the tensor values is insanely slow. His example that takes like 10 seconds to run in Python takes two and a half minutes in Rust with Burn, so trying to figure out how to optimize or speed that up.

Wasn’t expecting this before an arm64, but exciting t see.