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Overview: This white paper explores a next-generation Operating System (OS) tailored for small AI models in financial trading systems, focusing on the use of tensor-based optimization to minimize energy consumption, latency, and future costs. It also integrates advanced concepts like consensus mechanisms, and Zero-Knowledge Proofs (ZKProof) to ensure that the system operates efficiently and securely in real-time trading environments.

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Tensor-Based Optimization for Next-Gen AI Trading Systems ​

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