3
Three things you think you understood.
Now running · Meeting 3
The five-meeting pilot is underway.
We follow Daniel Litt's Étale Cohomology and the Weil Conjectures. Videos, notes, references, and AI tools support individual preparation. We meet weekly to do what requires other mathematicians: question, verify, challenge, explain, review, and decide together what is worth remembering.
An imaginative illustration of the conversations and ideas surrounding the development of étale cohomology.
What this is
The seminar is a public, collaborative pilot for undergraduate, master's, PhD, and other mathematically mature participants who want to study the first part of Litt's course together.
The repository records what the community contributes beyond the lectures: examples, non-examples, verification, peer review, proof digestion, useful friction, attribution, and a small shared toolkit.
Read the full project README →Why another seminar?
explanation · information · examples · assistance
verification · discussion · judgment · responsability · shared understanding · mathematical community
We are not meeting because mathematical explanations are scarce. We are meeting because human mathematical attention, criticism, trust, and shared understanding are scarce and valuable. Our philosophy is inspired in part by questions raised in Terence Tao's Mathematics in the Age of AI.
Read our full seminar values →How it works
Three things you think you understood.
Two points of mathematical friction.
One question worth discussing with humans.
One example or non-example that clarifies a definition or theorem.
Review one mathematical contribution made by another participant.
Problem of the Week. Engage seriously with one common problem. A partial solution, failed approach, or useful observation may be as valuable as a complete solution.
Candidate examples and proofs are proposed, checked by another person, discussed by the seminar, and only then may enter our shared toolkit.
Read the contribution guide →Problem of the Week
AI can often produce a candidate solution. Our goal is to understand why a solution works, where the key idea lies, what fails in unsuccessful approaches, and whether another mathematician can verify and explain it.
Examples matter
Every participant is encouraged to commit the example or non-example they found most illuminating. It does not need to be the most sophisticated example in the room.
GitHub helps us preserve who contributed it, how it was checked, what sources were used, whether AI or software helped, and how the contribution changed after review.
See the repository →Who can participate?
You do not need to understand 100% of every lecture before coming to the meeting.
Definitions, examples, intuition, and good questions.
Also proof architecture, hypotheses, and independent examples.
Also context, criticism, reviewing, connections, and mentoring without dominating.
Serious curiosity and preparation matter more than academic seniority.
Read the detailed expectations →Five-meeting pilot
Fridays, 17:00-18:30 Lima / 19:00-20:30 Brasília. Online via Google Meet.
After the fifth meeting, the group decides whether and how to continue.
Each week
watch → read → try the problem → use tools → contribute → review
The opening reconstruction is AI-free and notes-closed.
AI and tools
We use AI and mathematical software freely for preparation, while keeping human responsability, verification, reviewing, attribution, and collective digestion at the center of the seminar.
"GPT told me so" is not mathematical verification.
Read the values →