A developer built a browser instrument that visualizes how embedding coordinates can change under orthogonal transformations while cosine similarities remain identical. The tool demonstrates that raw …
Distill, a self-hosted AI agent, now requires physical evidence—such as a written file, a passing test, or a running service—before it can mark a task as complete, using a task contract system to prev…
Introductory overview of Graph Neural Networks (GNNs), explaining how neural networks can be adapted to process data structured as graphs. It covers the fundamental components of GNNs, explores why gr…
This article from Distill explains graph neural networks (GNNs), a family of neural networks designed to operate on graph-structured data like social networks and molecules. It highlights the challeng…
Distill thread exploring differentiable self-organizing systems, which use optimization to learn individual agent behaviors that achieve collective goals. It presents several research articles on topi…