This protocol introduces a framework for enhancing knowledge retention in AI, suggesting implications for long-term data storage.
Current Large Language Models suffer from catastrophic forgetting and session-based amnesia. This paper introduces the Global Humanity's Knowledge Archive (GHKA), a decentralized protocol designed to bridge the gap between millisecond-latency AI processing and millennial-scale knowledge preservation. Version 2.0 — revised per Diamond Standard (30-block academic structure). Reviewed by multi-model AI Consilium.
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Maris Dreshmanis (2026) studied this question.
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