The Problem With AI Isn't Compute. It's Memory

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Corbenic AI says its Taliesin technology can make AI systems much faster by remembering previously read document context instead of rereading it on every query. The company argues this cuts recurring compute costs and energy use, especially for long-document workloads like customer service, legal analysis, and enterprise reporting. It also says its Merlin software removes redundant data before computation, and the pair can reduce recurring compute costs by more than 90 percent. The article emphasizes reproducible tests, open-source community access, and scientific validation of the approach.

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