A course on Singular Learning Theory, exploring its applications in machine learning and mathematical AI alignment.
The course covers the mathematical foundations of SLT and touches on recent developments in how its tools are used in alignment research. The core focus is the role of degeneracies and singularities in governing the behaviour and training dynamics of neural networks. By the end of the course you will be familiar with:

