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This explainer explores the concept of 'looping AI' - a revolutionary approach where multiple AI agents continuously interact in feedback cycles, enabling autonomous self-improvement and adaptation in dynamic environments.
Learn how to create a basic Self-Improving Agent (SIA) that can update both its problem-solving framework and model weights, inspired by Hexo Labs' open-source SIA system.