looking at the German public railway system (DB), I always wonder if the stereotypes of timeliness and precision were ever actually true. Surely someone must've figured out by now how off they are? These trains are always late and / or broken.
Any conversation
I read
Still trying to figure out the boundaries of these tools' strengths without outsourcing important thinking, problem-solving, and the collective building-up of a mental model of the systems we're developing.
The shape of LLM tools as toolsโfit for a purpose, ergonomicโis becoming clearer, and human patterns of behavior with them that do more harm than good are also becoming easier to recognize.
๐
let N=6,D0=[0,1,0,-1],D1=[1,0,-1,0],s=[],g={},d=x=y=xa=xb=ya=yb=0;
for(let n=0;n<N;n++){s=s.concat([1]).concat(s.map(x=>!x).reverse())}
for(let i=0;i<s.length;i++) {
x<xa && (xa=x);y<ya && (ya=y);x>xb && (xb=x);y>yb && (yb=y);
let t=s[i]?1:-1,e=(d+t+4)%4;
g[x]||(g[x]={});
g[x][y]=g[x][y]?"โผ":"โโโโ"[(t*(D0[d]+D0[e])>0?0:2)+(t*(D1[d]+D1[e])>0?0:1)];
x+=D0[e];y+=D1[e];d=e;
}
for(j=yb;j>=ya;j--) {
let u=""; for(i=xa;i<=xb;i++){u+=(g[i][j]||"ยท")} console.log(u);
}ยทโโโโยทยทยทยทยทยทยท
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ยทยทยทโโผโผโยทยทยทโโ
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ยทยทยทโโผโยทโโผโยทยท
ยทยทยทยทโโยทยทโโยทยทA thing I've been doing lately is trying to come to the same conclusions others have without looking their the direct techniques and code. Last night I tried to figure out why people do vector based retrieval for RAG and ended up running these experiments: n0tls.com/โฆ/2026-09-03-i-think-โฆrag-with-grep.html
I'm still going to do an explore agent.


