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SIA is a self-improving AI framework that autonomously enhances the performance of any AI system or agent through iterative refinement. It coordinates meta-agents, task-specific agents, and feedback agents in a continuous loop to optimize solutions, achieving 56.6% gains on legal tasks and 91.9% runtime improvements on GPU kernels.