Hyperbolic Embeddings, Sparse Attention Kernels, and Diffusion-Based Retrieval: Three Breakthroughs in Scaling AI Systems

Welcome to today’s edition of State of AI 👋 This week brings a fascinating convergence: researchers are fundamentally rethinking how we represent knowledge in retrieval systems (moving from Euclidean to hyperbolic geometry), how we optimize inference efficiency (through programmable sparse attention and cross-layer routing), and how we augment language models with dynamic retrieval (leveraging…