LGTM

The math background needed to enjoy the video is not very extensive. Grant Sanderson (3blue1brown) explains everything to the best of his ability from a perspective of "discovering mathematics" and helping you "convince yourself" that you could have come to the same conclusion as well (i.e. grasping as much of the proof as you can). And if that goes over your head, then the animations are still really pretty!

My description:

An intreguing video that takes an innocuous problem of finding an inscribed square in a closed, continuous curve and connects it to familiar topologic objects, like the torus (or the coffee mug!), the Möbius strip, and the Klein bottle.

Timestamps:

0:00​ - Inscribed squares

1:00​ - Preface to the second edition

3:04​ - The main surface

10:47​ - The secret surface

16:45​ - Klein bottles

22:38​ - Why are squares harder?

25:10​ - What is topology?

I swear @[email protected] is everywhere bc he's here and I saw him in [email protected] and like two other communities 😭😭

Also just side ramble: lowkey this was kinda funny in a post-post-ironic way: first, it was meh funny because the guy rapping in such a shy voice was a bit funny and he's cute ig but NEXT; Second, the comment about the therapist genuinely made me cackle; third, and probably a bit more unfounded (?) is that the fact that multiple people can find this funny (the shared experience of laughing together?) ties off the humor with a bow and feeling of content fulfillment.

Slight context: bro was rapping the part of "DENIAL IS A RIVER" by doechii starting with "I mean fuck, I like pills" etc.

I just type random words sorry

The context behind this scene is hilarious, but it's like 151 chapters into the manhwa so I can't even explain why it's so funny

Sauce: The Greatest Estate Developer

Hello all,

I've only done very basic research on RISC-V as the DeepCompute RISC-V mobo caught my attention. For the software side, I know that support will (probably) come with time, so I can't really do much besides lament over it huh?

The main thing that caught my eye is that the DeepCompute mobo seems to only accept SD cards for storage. Is this a hard limit of RISC-V or is it just a limit of current technology (i.e. we need time to build something over RISC-V like x86_64/amd64?)?

I've also heard that Linux ran vaguely slow on RISC-V architectures, but ive only heard it as a passing comment. How true is this? Would future developments/putting in more time like for the decades behind x86_64 developments alleviate the speed issue?

Thank you all!

Do you guys post something everytime you visit a post FROM [email protected] or just everytime you decide to scroll through the community?

Also I stole this image from someone and idk who it was or the original source so 👺

If we look into a far off distance at an object travelling towards Earth, shouldn't we be able to see both the light from the object at some time t plus the light at some later time (t + delta t)?

Let's also assume that the object is traveling fast enough that it is discernable. This point might be moot, since I'm not sure if such a situation is possible. I know that Rayleigh's criterion could give us a lower bound for how far the images of the object has to be, though I'm not sure how complicated it would be to throw redshift into the mix.

This seems like one of those "Whoa this feels see weird causally but it's just a natural consequence of things we've observed thus has little repercussions as to what limitations physicists actually work around." Actually, I could see perhaps long exposure photos (or the telescope equivalent, if it exists) could run into issues.