Could quantum storage fine-tune AI into world models and robotics-superintelligence?
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Explores a theoretical approach to achieving artificial superintelligence by redesigning data storage architectures inspired by human brain memory organization. Proposes that classical memory systems could be restructured using quantum storage principles to create 'thin sets' for unique data and 'thick sets' for common patterns, mimicking how the human brain stores and retrieves information efficiently. Suggests this storage reorganization could enable AI to make creative connections and solve complex problems like disease cures, with potential prototypes achievable within 6 months.
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Human MemoryHuman IntelligenceQuantum StorageClassical Memory from Quantum StorageNew storage architecture for AI model, labs537 Impressions