For example, you remove an attribute from a class definition. Your existing objects get (lazily) updated to reflect that change, following a rule you even have control upon. You don’t have to restart a process and then re-create your objects. The same is true for Lisp web development. You can create a new route, compile it and try it live without restarting the server. You didn’t have to restart a process. It’s all very interactive with instant feedback! — Why Lisp?

Spinach, goat cheese and chorizo.

Today I had to rollback nvim to a previous state: one or some of the last pushes on the nightly branch broke my LSP setup, which would no longer autostart. No luck, just when I said I never encountered a single breaking change in Neovim core in months. #vim

Config (282.0 total hours, 5.0% of all time): Time spent on actual Emacs configuration. — 916 days of Emacs

But there’ll be winners and losers – everyone agrees. If it’s good, then the productivity gains will be unevenly distributed and those with only basic abilities - in programming, writing, music will be replaced by the machines, or by someone using a machine to produce a lot more of the product. If it’s bad, the people using the AI will benefit but those at the other end of the algorithm, those subjected to AI-powered policing, healthcare, or hiring are subject to the inaccuracy, bias, or malice built into the system. — The one about AI

Back to Kitty, as a replacement for Alacritty which I enjoyed using the past few months. I still use Tmux, though. #unix

I will probably watch Millenium again, and I thought I need to watch Noomi Rapace’s recent movies. Seven sisters (which is not listed on his filmography on Wikipedia) was so great after all. I watched Close two days ago; quite bad, actually. Bright was better, though.

Interesting blog post if you want to learn more about Chicken Scheme’s internals: CHICKEN internals: data representation . #scheme

Functors and monads are powerful design patterns used in Haskell. They give us two cool tricks for analyzing data. First, we can “preprocess” data after we’ve already trained a model. The model will be automatically updated to reflect the changes. Second, this whole process happens asymptotically faster than the standard method of preprocessing. In some cases, you can do it in constant time no matter how many data points you have! — Functors and monads for analyzing data

♪ Lady Blackbird · It’ll Never Happen Again