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GitHub - One level higher than the noise.

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* The NSS Engine (Neural Signal Sifter) is a Signal Intelligence Platform that reduces the “Data Dilution Problem” by filtering out 60–80% of low-value noise from raw data, extracting high-density signals to improve AI processing efficiency and output quality. * It acts as a preprocessing gateway for AI systems used in areas like cyber-forensics, multilingual data ingestion, and edge AI, with zero-shot precision that allows it to adapt across datasets without task-specific training.

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Do you think this could help AI run more efficiently and maybe, over time, reduce or even get rid of issues like token limits and API constraints?