Domino tilings beyond 2D
Caroline J. Klivans, Nicolau C. Saldanha
https://arxiv.org/abs/2507.22625 https://arxiv.org/pdf/2507.22625
TONIGHT: Pulitzer-winning cartoonist Ann Telnaes discusses The Power of Editorial Cartoonists for Democracy!
Ann Telnaes resigned from WaPo when this cartoon was rejected.
She wrote, “...My job is to hold powerful people and institutions accountable. For the first time, my editor prevented me from doing that critical job.”
Sign up here: #FreePress #Democracy #Media
For example:
- Telling apart photos of cats and dogs is “AI.”
- Making up fake but plausible facts on an arbitrary topic is “AI.”
- Walking is “AI.”
- Doing long multiplication is something we might call “intelligence” in humans, but it is not “AI” because computers have •always• been good at it.
- Winning at checkers •used• to be “AI” because computers didn’t used to be able to do that, but now it’s not “AI” because computers have been good at it for too long.
5/
Geometric implications of weak tiling
Mihail N. Kolountzakis, Nir Lev, M\'at\'e Matolcsi
https://arxiv.org/abs/2506.23631 https://
Good, Bad, Wild Card: PFF's review of Cowboys' roster telling story with unknown finish https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/05/31/how-do-the-cowboys-stack-up-…
Playing around with the MCP template in #dotnet. It's interesting stuff, and maybe can see the value in offering dev-time tooling for projects.
Notes on the one-loop amplituhedron and its BCFW tiling
Ran J. Tessler
https://arxiv.org/abs/2506.22238 https://arxiv.org/pdf/2506.22…
Being autistic, I have to keep telling myself, "Yes, being gender-fluid is valid, and Norway lets me be who I am," just to really accept myself. 🏳️⚧️🇳🇴
https://en.wikipedia.org/wiki/Gender_fluidity
For example:
- Telling apart photos of cats and dogs is “AI.”
- Making up fake but plausible facts on an arbitrary topic is “AI.”
- Walking is “AI.”
- Doing long multiplication is something we might call “intelligence” in humans, but it is not “AI” because computers have •always• been good at it.
- Winning at checkers •used• to be “AI” because computers didn’t used to be able to do that, but now it’s not “AI” because computers have been good at it for too long.
5/