Research
The Neural Geometry Series
A series exploring how curved geometric structure in neural network representations mirrors the conceptual structure of the world—and how that geometry can be leveraged to control and understand AI systems.
The World Inside Neural Networks
How neural geometry will unlock understanding and control of AI
Neural networks develop rich geometric structure in their activations, mirroring the structure of the world they are trained on: days of the week form circles, colors form an HSL manifold, and the tree of life appears in genomic representations. This opening post makes the case that this "neural geometry" is a crucial frontier for understanding, improving, and controlling AI models.
More posts coming soon!