Why AI Chatbots May Repeat Authoritative but False Claims

Summary

The author proposes that some AI chatbots produce poor answers because their training data contains web statements that sound authoritative but are factually wrong. The example is a Wikipedia sentence saying that progressive web apps must use service workers to create programmable content caches. The author argues that the sentence is false: service workers are needed to create such a cache, but are not a universal requirement for every PWA. According to the post, Gemini repeats the original wording rather than correcting it. The author suggests that human readers often unconsciously interpret flawed wording in the intended, more accurate way and tolerate it, while a next-token prediction system lacks that understanding and reproduces the common formulation. This is presented as a hypothesis based on one example, rather than a demonstrated causal explanation of chatbot accuracy.