The Mountains of Kong
Blog post from Tyk
The “Mountains of Kong” were a nonexistent West African range introduced to maps in 1798 by cartographer James Rennell, whose inference was repeatedly copied, elaborated, and treated as authoritative for nearly a century despite a lack of direct evidence, until Louis-Gustave Binger’s journey disproved them; some references persisted even decades afterward. The story is used to illustrate a risk in enterprise AI retrieval systems: an internal assistant gave a confident but false account of product capabilities by drawing on genuine sources that contained speculative roadmap ideas and customer questions rather than verified facts. Because organizational archives preserve what people said rather than what is currently true, language models can flatten context, timing, and certainty into persuasive present-tense answers. Measures such as source ranking, recency weighting, citations, and approved-document filters can reduce errors but cannot fully resolve ambiguity, particularly when informal records hold valuable knowledge. The author argues that informed human review remains essential to identify and correct AI-generated misinformation before it spreads rapidly within an organization.
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