I use the same analogy explaining to people what my meds do. They’re a catalyst in that they lower the activation energy of doing anything other than doomscrolling
Another happy aerospace here! IMO it does a great job with barely any configuration required (the default config works great, I have barely tweaked it over years of use), that said I’m not exactly power user of tiling WMs, I have one app per workspace 90% of the time
I don’t understand the screenshot, the “attacker” sent that to customers? Or Delve created this screenshot as a dramatic reenactment? The post is not clear
This reminded me of ViperGPT[1] from a couple of years ago, which is similar but specific to vision language models. Both of them have a root llm which given a query produces a python program to decompose the query into separate steps, with the generated python program calling a sub model. One difference is this model has a mutable environment in the notebook, but I'm not sure how much of a meaningful difference that is.
I only skimmed this but it has several things that make me suspicious. Mainly that they did not require a diagnosis for ADHD but instead separated participants based on a questionnaire regarding symptoms. Additionally their participant pool somehow contained more than 20% of neurodevelopmental disorders and other mental health disorders which seems very high.
Neat project! Maybe this decision is copied over from unreal engine, but instead of `ensure` and `ensure_always`, having names like `ensure_once` and `ensure` would have been more clear to me.
I did read that part, I just feel that the idea that somehow something good comes from removing the feather (which is negligible expense relative to changing the name), is just plainly saying that we care about inclusivity but only so long as it’s not expensive. Which is more or less the policy of every large organization, but it’s rare that it gets said.
I don’t know that I’ve ever seen such a short article so clearly demonstrate how much don’t actually care about the people who they are to trying to placate. They’re changing the feather because it’s apparently offensive to reference it, but they’re not changing the name because it would cost money. Even though the name is way more tightly tied to the people than the feather. I don’t actually care about the logo or the name I just find having the dichotomy so clearly spelled out interesting.
"68,000 iterations of an empty loop in a millisecond" The factor of 1000 comes from the conversion from seconds in the question, to milliseconds in the blurb.
Alacritty being so slow is surprising to me here. I only use it on macOS, but it feels faster than kitty when I'm looking at application logs scrolling quickly across the screen. Perhaps responding to typing events has different latency than tailing a log file or listening to stdout?
Something I've always wanted from my shell history is to be able to record relative filepaths as their absolute equivalent in the history, is that supported in atuin?. If you do a lot of data munging on the CLI, you end up with a lot of commands like `jq 'complicated_selector' data.json`, which if I want to remember the selector is good, but if I want to remember which data I ran it on is not so good. I could do it with better filenames but that would involve thinking ahead. I also run into this a lot trying to remember exactly which local file has been uploaded to s3 by looking at shell history.