November 2026

Schedule

Yours: Training Dynamics, Fri 20 Nov

Week 1

[C.1]Intro to ML Engineering and Transformers Mon 2 Nov Dan WilhelmLocked materials feedback

[A.1]AI Alignment Introduction Tue 3 Nov George RobinsonLocked materials feedback

[D.1]Reinforcement Learning and Misgeneralization Wed 4 Nov Fernando RosasLocked feedback

[D.4]Agent Foundations Thu 5 Nov Ashe Vazquez NuñezLocked materials feedback

[A.2]Alignment in Practice Fri 6 Nov Margot StakenborgLocked materials feedback

Week 2

[E.1]Debate and Scalable Oversight Mon 9 Nov Leonardo Costa LesageLocked feedback

[D.3]Solomonoff Induction and AIXI Tue 10 Nov David QuarelLocked materials past feedback

Heuristic Arguments and Verification Wed 11 Nov George RobinsonLocked past feedback

Multi-agent Dynamics Thu 12 Nov James SykesLocked past feedback

[E.2]Steganography and Backdoors Fri 13 Nov Julian SchulzLocked materials past feedback

Week 3

ZKP for Compute Governance Mon 16 Nov Pierre PeignéLocked

Project proposal day · Tue 17 Nov Tue 17 Nov Leonard BereskaLocked

[B.6]Physics for Deep Learning Wed 18 Nov Artemy KolchinskyLocked materials past feedback

[B.2]Mysteries of Deep Learning Thu 19 Nov Kai OgdenLockedMiguel Donaire Arcas-Sariot materials past feedback

[B.4]Training Dynamics leading Fri 20 Nov Cheryne JonayLockedChristian Copetti materials past feedback

Week 4

[B.3]Singular Learning Theory Mon 23 Nov Kai OgdenLocked materials past feedback

[B.5]Data Attribution Tue 24 Nov Kyriakos KatsamaktsisLocked materials past feedback

[C.3]Computational Mechanics Wed 25 Nov Xavier PonciniLocked materials past feedback

[D.7]World Models Thu 26 Nov Simon SchraderLocked materials past feedback

Project proposal day · Fri 27 Nov Fri 27 Nov Leonard BereskaLocked

The Module Library holds a folder per module. The curriculum site holds the lecture notes, and a code links to them where they are written. A day with no link has none confirmed for it.