Recent submissions

Comment · 18 days ago
> it's not permissivity, it's physically wired in the brain.

It's not. You figure this out when you drag someone into the woods. And again a couple weeks later.

Comment · 18 days ago
Comment · 19 days ago
Naked though
Comment · 23 days ago
I don't think it will be the case, maths have real utility. I found something interesting at the intersection of combinatorics and information geometry. To be quite frank I don't understand what I'm doing. And yet, when I ask ChatGPT to use the framework we're developing to write an algorithm, it turns out it has quasi-parity with the state of the art. I have to measure absolute perfs to decide which one is better – theirs, not mine. Ok. Time to keep improving on what I have. And this implies dropping the code and going back to the blackboard doing more super abstract math that are way out of my league.
Comment · 25 days ago
reading what exactly?
Comment · 27 days ago
I am working on a new kind of sorting "algorithm" for when the cost of comparisons is high and heterogeneous. The ideal use case is as a methodology for minimizing the number of pairwise human evaluations: in AI, marketing, search evaluation, clinical trials, etc... It works by keeping track of what pairs are solidly established, which parts of the ranking are still ambiguous, what alternatives are still possible/impactful and from this deduce the fraction of the sorting that can be reused during updates.

Think of it as reversible incremental ranking with information-theoretic guarantees and updates that scale linearly with the number of items to rank. From this I realized there was a direct application in machine learning: differential sorting and ranking. I've been exploring this space for the past couple days and it seems I could be flirting with state of the art performances. To sort 8000 items, softsort takes 1.9 secs to complete one forward and one backward pass. My implementation takes 27ms. 488Mo for softsort. 0.18Mo for me. Sorting 10^6 items costs about 100ms and 15Mo. Softsort can't run at this scale. Alas softsort isn't SOTA, fastsoftsort is. We both run in O(n log n) in time and O(n) in space, and have very similar raw performance profiles except that my thing takes 3x as much memory ... which allows me to update the ranking in linear time on the next runs. Mmmh!

Comment · 1 month ago
it's pretty hard to tell why from the inside though, isn't it ?
Comment · 1 month ago
> Jezebel

Well the next step obviously is to get in touch with the lodge these police officers belong to, talk to the grandmaster and convince him to organize a conciliation night with you as a guest. When you leave, whisper in the ear of the officer in charge of your case "I'm hungry, and I only use pressure cookers. If you behave I'll invite you to the diner".

Comment · 1 month ago
He cooked eggs for the handsome actor.
Comment · 1 month ago
What about Waymo's remote controlled cars? Why is this not an issue?
Comment · 1 month ago
Comment · 1 month ago
il est docteur

vs

c'est un docteur

Comment · 1 month ago
> the culture you’re cheering on the death of

Ahaha. Flowers are the way to go.

Comment · 1 month ago
I'm not working on some famous conjecture, just following my curiosity, and I think I found something (minor and specific) that should reignite a young mathematician's interest for work she did almost a decade ago, for a phd she never used (she left academia). I'm going to have flowers delivered to her, with a brief note explaining what I think I found and encouragement to resume her academic career and reach out to a her former co-authors.
Comment · 1 month ago
> The dominating idea in this application of mathematics to physics is that the equations representing the laws of motion should be of a simple form. The whole success of the scheme is due to the fact that equations of simple form do seem to work. The physicist is thus provided with a principle of simplicity, which he can use as an instrument of research.

https://arxiv.org/abs/math-ph/0009007

> Occam's Razor as a Formal Basis for a Physical Theory

> We introduce the principle of Occam's Razor in a form which can be used as a basis for economical formulations of physics. This allows us to explain the general structure of the Lagrangian for a composite physical system, as well as some other artificial postulates behind the variational formulations of physical laws. As an example, we derive Hamilton's principle of stationary action together with the Lagrangians for the cases of Newtonian mechanics, relativistic mechanics and a relativistic particle in an external gravitational field.

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