Generative Artificial Intelligence (AI) tools, such as Large Language Models (LLMs), have become powerful assistants in content creation and research. However, they pose a profound threat to the integrity of human knowledge by generating fictitious yet plausible-sounding information. This fabricated content, including non-existent scholarly citations, is increasingly integrated uncritically into public discourse, leading to an accelerating cycle of information contamination. Standard verification methods, like time-limiting searches to a ”pre-AI” era, are insufficient because AI can retroactively fabricate and timestamp historical data, polluting our understanding of the past itself. We are at a critical inflection point. To counter this existential threat, this article proposes the establishment of a Human Knowledge Archive (HKA). This archive would be a static, immutable, and comprehensive snapshot of our collective knowledge up to a designated point in time, adhering to principles of comprehensiveness, immutability, and public accessibility with strict isolation The HKA’s critical isolation, involving measures like physical air-gapping and decentralized ledger technologies, is crucial to prevent contamination and ensure it remains untainted by future AI training. This initiative is a vital act of intellectual preservation, committed to providing future generations and responsible AI systems with a reliable, factual baseline of human civilization. While the task is immense, the cost of inaction, especially as future AI capabilities remain profoundly unpredictable, is the sanctity of truth itself.