Some time ago, I explained how I setup “Global hotkeys for macOS with skhd”. I mentioned running it automatically upon login via the macOS Launch Daemon but did not detail the steps. So here they are...

I have been using UTM on M1/M2 macs for all my virtualization needs for a while, but never posted much because it practically works out of the box. Since around October 2022, UTM v4.0.9 on macOS Ventura allows Apple Hypervisor Virtualization Virtual Machines to use Rosetta 2.

I was recently researching external storage for my Mac, looking for the “fastest” and most “reliable”. There are so many options, and of course, so many different price points! It’s all very confusing: NGFF M.2? NVMe M.2? USB 3.1 Gen 1 (5 Mbps)? USB 3.1 Gen 2 (10 Gbps)? USB 3.1 Gen 2x2 (20 Gbps)? Thunderbolt 3? Thunderbolt 4? USB 4.0?

Epic Diffusion recently came to my attention, a high-quality merge of various models by John Slegers: “Epîc Diffusion is a general purpose model based on Stable Diffusion 1.x intended to replace the official SD releases as your default model. It is focused on providing high quality output in a wide range of different styles...” Figured I’d give it a spin.

I recently tried Lite XL v2.1.0, a forked and updated version of the original rxi/lite, “A lightweight text editor written in Lua”, on MacOS ARM. Here are some findings.

Recently (around 14 December 2022), Apple’s Machine Learning Research team published “Stable Diffusion with Core ML on Apple Silicon” with Python and Swift source code optimized for Apple Silicon (M1/M2) on Github apple/ml-stable-diffusion. Here I’m trying it out on a MacBook (though the code also works on iPhones and iPads)...