AI answer engine batch poisoning: In Gemini 3’s correct answers, 56% have no source support
This article points out that when an AI answering engine queries, it retrieves and cites webpages in real time; if the sources are AI-generated or lack evidence, the results get contaminated. This can take effect without further training and is called retrieval contamination. Although Gemini3 has high accuracy, 56% of its answers lack verifiable sources. Case studies such as Lily Ray and Grokipedia show that AI can be easily fooled by self-created content. The conclusion is that the citation layer becomes decoupled from reliable authors, forming a self-reinforcing contamination loop; users still need to trace back to the original sources and should not treat the answer as the endpoint of fact-checking.
ChainNewsAbmedia·04-23 08:43

