Blog

We examine why deploying vision-language-action models on real robots remains an unsolved systems problem, and explore the inference, memory, and observability gaps between impressive demos and production deployment.

We start from Claude Shannon's foundational work and build to some ideas in modern machine learning, and explore entropy, mutual information, and their unexpected connections.