Google Cloud’s Always-On Memory Agent Replaces RAG and Embeddings With Continuous LLM Consolidation on — 2026-07-18

Impact Vector: AI Tools · Jul 18, 2026 · 3m

## Short Segments Sakana AI's breakthrough in neural network training challenges the dominance of backpropagation. Their new method, Error Diffusion, trains networks without the need for weight transport, achieving impressive results on MNIST and CIFAR-10 datasets. Today, we'll explore how this approach aligns with Dale's principle and what it means for the future of AI training. Later, we'll dive into Google Cloud's Always-On Memory Agent, a game-changer in AI memory management. Sakana AI's Error Diffusion method trains networks without backpropagation, achieving 96.7% on MNIST and 61.7% on…