I just entered university for math and even though this is all very demotivating, it’s just what I’m good at.

https://math.andrej.com/2013/08/19/how-to-review-formalized-mathematics/

The AI people’s cry of "no don’t look at the code! it’s in lean so it’s correct! does give me a bit of hope (hi bitofhope if you’re here) that it’s bullshit that will fall over

Smart Pipe Inc. is a Registered Sex Offender

There cannot be such a thing since pdf does not structure its data. There is an extension to the standard that would let a program do it for you but nobody uses it (PDF/UA-1). (also pandoc is vibe coded now)

+1 for Archipelago

OMG I just installed it! Great to see.

I believe it’s the “don’t stuff beans up your nose” effect, writing this prompt is causing it to mention goblins

Bravo. The farthest i could get is 2/3 assuming the following model: x₁ is a random number between 0 and 1, x₂ between x₁ and 1, and so on. If the service breaks at x₁, gets fixed at x₂, breaks again at x₃, etc. availability is 2/3.

Luna is a very common transfem name

I also had a computer not boot. Tried installing windows 11 but the iso does not include network card drivers and requires a second drive that has them. I just happened to have another but it malfunctioned. Was assured IT would fix it but it still doesn’t boot. :(

This github bot arguing with itself for over 5000 comments over an issue label

https://github.com/google-gemini/gemini-cli/issues/16723

Thank you for the links

Junk theorems in Lean are laughably bad due to type coercions.

Those look suspicious… I mean when you consider that the set of propositions is given a topology and an order, “The set {z : ℝ | z ≠ 0} is a continuous, non-monotone surjection.” doesn’t seem so ridiculous after all. Similarly the determinant of logical operations gains meaning on a boolean algebra. Zeta(1) is also by design. It does start getting juicy around “2 - 3 = +∞” and the nontransitive equality and the integer interval.

o7’s already posted it! https://awful.systems/post/6746032/9903043

The flipside to that quote is that computer programs are useful tools for mathematicians. See the mersenne prime search, OEIS and its search engine, The L-function database, as well as the various python scripts and agda, rocq, lean proofs written to solve specific problems within papers. However, not everything is perfect: throwing more compute at the problem is a bad solution in general; the stereotypical python script hacked together to serve only a purpose has one-letter variable names and redundant expressions, making it hard to review. Throw in the vibe coding over it all, and that’s pretty much the extent of what I mean.

I apologize if anything is confusing, I’m not great at communication. I also have yet to apply to a mathematics uni, so maybe this is all manageable in practice.

The developer of an LLM image description service for the fediverse has (temporarily?) turned it off due to concerns from a blind person.

Link to the thread in question

Good for them

Yes, they are trying to automate releases.

sidenote: I don’t like how taking an approach of mediocre software engineering to mathematics is becoming more popular. Update your dependency (whose code you never read) to v0.4.5 for bug fixes! Why was it incorrect in the first place? Anyway, this blog post sets some good rules for reviewing computer proofs. The second-to-last comment tries to argue npm-ification is good actually. I can’t tell if satire

Vibe coding would go just great in a theorem prover

clanker’s dozen

Does this mean calibre’s use case is a digital equivalent of a shelf of books you never read?

I tried using Fluidsynth only to find that drums don’t work. I looked around on github and found that they are toying with copilot to fix a related issue and that vibe code has already been merged 🙃

Linus: All those years of screaming at developers for subpar code quality and yet doesn’t use that energy for literal slop