Boston Computation Club

Boston Computation Club

The Boston Computation Club is a small seminar group focused on mathematical computer science, and computational mathematics. Its name is plagiarized from the London Computation Club. Boston Computation Club meetings occur roughly every other week, on weekends, around 5pm EDT (modulo speaker availability). The usual format is a 20m presentation followed by 40m of discussion. Some, but not all, meetings are posted on YouTube and in podcast form.
00:00
00:00

Resumen del episodio

Alex is a friend of mine and a mathematician. He did his PhD in mathematics with other Alex (Martsinkovsky), who has presented at the seminar group previously. We're huge fans of both Alexes at the Boston Computation Club and we hope you enjoy this talk as much as we did!

Episodios

89-

Sum-check protocol: categorical view, Alex Sorokin

Alex is a friend of mine and a mathematician. He did his PhD in mathematics with other Alex (Martsinkovsky), who has presented at the seminar group previously. We're huge fans of both Alexes at the Boston Computation Club and we hope you enjoy this talk as much as we did!

08 sep. 2026
88-

P-stability for 3-uniform Hypergraphs, Daniel Yu

Today Daniel Yu gave a pure math talk on an extension he performed independently of work he had conducted during his math semester abroad in Budapest.

08 sep. 2026
87-

Understanding patterns of adoption and adaptation of open models on local systems, Woohyeuk (Kevin) Lee

Today Woohyeuk (Kevin) Lee joined us to discuss local AI (and the question of just how local it really is). This is exciting work at the intersection of computer science and social science! Enjoy.

08 sep. 2026
86-

Cellular automata and artificial life in the deep learning era, Casey Martin

Casey Martin is a dirtbag intellectual, local savant, and recent PhD in the Boulder metro area. He's a party favorite and today he joined us to discuss cellular automata and their generalizations. Enjoy!

08 sep. 2026
85-

06/26/26: Tracing Introspection Across Model Depth, Zach Maas

Zach Maas is an independent AI safety & mechanistic interpretability researcher in Boulder, Colorado, funded by Coefficient Giving. Today Zach joined us to talk about some of his recent work tracing introspection across model depth. This is, I think, the first mech interp talk we've hosted other than ChessGPT, and it was a good one! We hope you enjoy it as much as we did!

03 jul. 2026