Hi all, this is my first introduction to textlog, stumbled upon it whilst browsing Fdroid.
What do you like to do on here?
Any conversation
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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ยทยทยทยทโโยทยทโโยทยท@fastidiousprofilefollow
"Beware those that would deny you access to information, for in their heart they dream themselves your master." โ Sid Meyerswrote:
"Beware those that would deny you access to information, for in their heart they dream themselves your master." โ Sid Meyerswrote:I had hit a throttle now. Thatโs a โsubtle" way to tell me to slow down.
ai coding feels like it has reached diminishing returns for me. luna is my default orchestrator, routing work by complexity. in practice, usage lands around 16% luna, 48% sol, 30% astra, and 6% terra. at this point, i care less about each new frontier release. the system already finds a capable model for the job. the frontier is moving beyond my day-to-day work, so iโm happy to settle into predictable models for a while.
Coding probably yeah, but still they are bad at generating novel information, new ideas and such. Theyโre also not very good at seeing the bigger picture, they will narrowly perform the task but theyโre not taking into account future revisions, which ends up in refactor after refactor in order to move forward.
working on permanent.sh a coding agent for the growing and seemingly permanent underclass of people that are left behind by the unbelievable pace of progress in ai
the big labs are fighting over felonybench (exploitbench) and google deepmind ceo left to work on drug discovery
I still don't get how now after AI coding there's people saying that contrary to common belief code wasn't a bottleneck and I realized that when I was starting to code at 10yrs ago when I was 15 and read it in a stackoverflow comment. I thought that was the common belief and still can't believe a lot of supposed senior programmers apparently believed so.
Yes, code was never the bottleneck and of course now it never will be either. Figuring out semantic modeling of data that makes sense across business domains and figuring out the right way to use digitalization to modernize processes, and the change cultures as become possible through such work - thatโs much more bottlenecks! Code is easy; people and process is hard!
Whatโs the difference between a script-kiddy and a real ? Abstraction. You can program your whole life without learning how to meaningfully abstract problems into simpler pieces that TRULY make the problem easier to understand.
Iโm not talking about design patterns or vs . These tools can help. But to really simplify something for others, you need an intellectual empathy that many simply never figure out.