As an aside, I’ve never seen any pro ai people treat anyone not using ai like this.

But since you don't know when resets are coming, it becomes kind of frustrating trying to game it out. One week they're resetting like crazy so you're trying to burn tokens as fast as possible. The next week they're not resetting at all so you have to adjust your workflow to be more conservative.

> The novelty is in parrelizing LLVM, which is traditionally a single-thread code generator.

You said they parallelized LLVM with novel techniques, but then claimed the novelty is the very act of parallelizing it. That's circular, you still haven't explained what are the novel techniques?

I reposted one picture of my favorite bird, the albatross, and then my feed was 100% bird pictures. I'm not interested in birds generally, just albatrosses specifically. But they were nice enough pictures so I kept using the app.

Then I tried telling it about my other interest which was robotics, and so I started liking posts about autonomous cars. Specifically, one day I liked a picture of some guy filming in in his car some other guy sleeping in his Tesla while it was driving autonomously on the highway.

After that my feed was flooded with selfies of dudes in their car. Like, "goodmorning sunshine, off to work, here's a quick selfie of me". Every time I opened the app it was just a parade of bird pictures and selfies of bearded dudes in their cars. At least on Threads the thirst traps were thirsty!

Bluesky had no idea what my interests were. On Threads we used to do a thing like "Hey @algorithm, send me people who are interested in X Y Z" and that worked. Actually first it didn't and then Threads made it official after so many people did it. But even still when it wasn't official it still seemed Threads was able to provide a better feed than Bluesky.

So I quit. Congrats Bluesky, tough feat but you've somehow found a way to be more annoying than ads.

I'm not going to spend my effort policing whether they're using AI or not in their class work because it's a losing battle. At the end of the day, they can either demonstrate mastery of the material at an exam or not. It makes the exams higher stakes, but that's where we are.

I'll give you an example: I pointed Codex at one of my repositories asking it to implement some features. Very quickly, it ballooned a 3 minute CI workflow to 30 minutes per commit, and the number of commits it started making increased 10 fold. So we're looking at a 100x increase in usage just from myself.

You factor that into the fact that all public repo get access to this same compute, basically unlimited minutes, up to 20 parallel tasks and 6 hours per request. Now because of AI, every small little weekend throw away side project is running a full dev ops shop. And the pressure never goes down because the AI just start a cron job to run these systems every single day, whether anyone is even looking at these repos including the authors, who may themselves just be bots.

And the systems are sophisticated: parallel builds across windows, mac, multiple linux distributions, multiple architectures, embedded targets, web targets, full feature matrix, the works. The default MO of these agents is to do as much testing as possible without any regard for resource constraints, and GitHub offers them unlimited resources, so it's like an addict meeting a dealer.

So in a sense, maybe being attached to Microsoft is the problem. Or at least their unlimited wallet is -- Microsoft is the enabler in all of this.

That reverberates even toady -- I had a physics professor who who learned German precisely because he wanted to read some original texts written by Boltzmann. Apparently he thought he was missing some nuance in the translations.

Oh God, what now, we've finally bombed Cuba?

"...$1.2B deal to pay..."

Oh thank God!

"...halt offshore wind projects"

God damn it.