Articles

Why AI alignment requires architectural decentralization. Centralized LLMs concentrate risk, distort intelligence through language, and collapse under synthetic feedback loops. A philosophical and technical case for distributed spiking networks.

How spiking neural networks can save AI from itself. LLMs are running out of training data— but SNNs don't consume data, they generate it. Spike trains as a novel data modality, grounded in physical reality and endlessly renewable.