More tweeter than tweeter?
Any conversation
spiral
for(y=-5;y<5;y++){
s=""
for(x=-10;x<10;x++){
r=Math.hypot(x/2,y);a=Math.atan2(y,x/2);s+=" .:*#โ"[((r+a*2)%5+5)%5|0]
}
console.log(s)
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#**:::...::*# ..:**#
. ##**::. ..::**##
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. ##***:::......:::Iโm using textlog to explore the intersection of and tech, with the goal of building an app that solves a problem in this space. Named , it's word represented as a hex color.
Of all the words there, it is a cocoa-ish color and is an appropriate name for this idea.
I was curious of testing the Omarchy distribution this week just because I had some free time to work on it. I saw a lot of hate around it and kind of get the point but so far at least for what I have been doing it wasn't terrible (at least at the point of writing this) although I am not trying to convince anybody to use it. But it just remember me how much do I hate MS.
Avui tenia una reuniรณ llarga de moltes hores, d'aquelles en les que una escolta passiva รฉs suficient durant la major part del temps. He aprofitat el temps per implementar una sincronitzaciรณ en dues direccions entre el meu calendari i el meu sistema de notes en markdown (Emacs Howm). He fet el pla amb Argon (tinc pocs tokens al dia amb la subscripciรณ que tinc), amb feedback meu, i desprรฉs Gemini Flash l'ha implementat quasi a la primera.
Today I had a long meeting of many hours, one of those where passive listening is enough for most of the time. I took advantage of the time to implement a two-way synchronization between my calendar and my markdown note system (Emacs Howm). I made the plan with Argon (I have few tokens per day with the subscription I have), with my feedback, and then Gemini Flash implemented it almost on the first try.
I truly love the experience of using apps with rich, deeply interactive, beautifully animated, gorgeous user interfaces.
Then I see a beautiful text-based interface and something about it feels so natural, so inevitable, so perfectly clear, and I'm instantly captivated by its simplicity and clarity.
Hypertext is fascinating.
I notice that language models are much better at programming than at writing. This is largely because, in programming, they have a closed feedback loop that allows them to find errors. Writing is much more complicated because the feedback is much more diffuse and delayed over time. In fact, it is often not well-defined.

