this isn't UB, and any other language can do this optimization as well

even the one you cult over

yes

9/12

3 months have passed, 9 to go :)

"common" has such a large spread because meaning behind it is sort of "at least one in each sample", where that sample can be anything (graspable)

if you're a teacher and one student per class does the same thing - it's common. Even though it's only 1/25 or 1/30 of all students

I think I mentally interpret "common" as "a member of a plurality category," which is to say in the same order of magnitude of commonality as the most common group at a given level of detail.

What you're describing, I think I would call "Not uncommon." Or, to put it another way, you shouldn't be surprised for any given case to exhibit it, but you shouldn't expect it either.

can't zoom in on mobile :/

so the website processes only comments older than 2023?

not very useful for more newer users like me :/

I discovered the data is available up to date. Maybe soon or later I'll repeat and extend the analysis, potentially also using multiple ways to compute the vectors, including SBERT (or better SModernBERT).

Forbidden You don't have permission to access this resource.

thanks for being open ...I guess

You're probably in some country that has longer copyright duration than the US (life+70a, which is atrocious enough). Use Tor or a proxy.

so if every star smokes a cigarette, there will be roughly 1 mol (6.02e23) of said particles?

how is it different from the "sidewalk" algo in the article?

you'd get the same pitfall of torus topology with 2 perpendicular loops

it is interested in both