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.
Any conversation
mandelbrot
for y in range(10):
s=''
for x in range(25):
a=[]
for q in range(2):
z=c=x/25*3-2+1j*((y*2+q)/10-1);n=40
while n and abs(z)<2:z=z*z+c;n-=1
a+=[n<5]
s+=" โโโ"[a[0]+2*a[1]]
print(s)
โโ
โโโโโโโโ
โ โโโโโโโโโ
โโโโโโโโโโโโโ
โโโโโโโโโโโโโโโโโโโ
โโโ โโโโโโโโโ
โโโโโโโโ
โ โโโโ
โโIโm 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.
Been working on an old mastodon hosting project I tried to start a few years ago, with a focus on privacy. This is the first big project I've tried to come back to with the help of coding agents and find it invigorating, and gives me the confidence to actually finish the project. Who knows if it will ever make a dollar, but it sure is fun to watch my ideas come to life.



