{"id":433762,"date":"2026-01-26T06:03:17","date_gmt":"2026-01-26T06:03:17","guid":{"rendered":"https:\/\/www.newsbeep.com\/ca\/433762\/"},"modified":"2026-01-26T06:03:17","modified_gmt":"2026-01-26T06:03:17","slug":"chatgpt-found-to-be-sourcing-data-from-ai-generated-content-popular-llm-uses-content-from-grokipedia-as-source-for-more-obscure-queries","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/ca\/433762\/","title":{"rendered":"ChatGPT found to be sourcing data from AI-generated content \u2014 popular LLM uses content from Grokipedia as source for more obscure queries"},"content":{"rendered":"

ChatGPT\u2019s latest model, GPT-5.2, has been found to be sourcing data from Grokipedia, xAI\u2019s all-AI-generated Wikipedia competitor. According to The Guardian<\/a>, the AI LLM would sometimes use Elon Musk\u2019s AI-generated online encyclopedia for uncommon topics like Iranian politics, and details about British historian Sir Richard Evans. Issues like this were raised as problematic a few years ago in AI training, where some experts argued that training AI on AI-generated data would degrade quality and lead to a phenomenon called \u201cmodel collapse.\u201d And while citing AI-generated data is different from using it for training, it still poses risks to people relying on AI for research.<\/p>\n

The biggest issue with this is that AI models are known to hallucinate or make up information that is wrong. For example, Anthropic attempted to run a business with its \u2018Claudius\u2019 AI<\/a> \u2014 it hallucinated several times during the experiment, with the AI even saying that it would hand-deliver drinks, in person. Even Nvidia CEO Jensen Huang admitted in 2024 that solving this issue is still \u201cseveral years away\u201d<\/a> and requires a lot more computing power. Furthermore, many users trust that ChatGPT and other LLMs deliver accurate information, with only a few checking the actual sources used to answer a particular question. Because of this, ChatGPT repeating Grok\u2019s words can be problematic, especially as Grokipedia isn\u2019t edited directly by humans. Instead, it\u2019s completely AI-generated and people can only request changes to its content \u2014 not write or edit the articles directly.<\/p>\n

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Using another AI as a source creates a recursive loop, and we might eventually end up with LLMs citing content, which haven\u2019t been verified, from each other. This is no different from rumors and stories spreading between humans, with \u201csomeone else said it\u201d being the source. This results in the illusory truth effect, where false information is deemed correct by many, despite having data saying otherwise, because it\u2019s been repeated by so many people. Human society was littered with myths and legends similarly, passed over hundreds of years through several generations. However, with AI churning through tons of data at infinitely faster speeds than humans, the use of AI sources risks the proliferation of digital folklore with every query entered into AI LLMs.<\/p>\n

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What\u2019s more troubling is that various parties are already taking advantage of this. There have been reports of \u201cLLM grooming,\u201d with The Guardian saying that some propaganda networks are \u201cchurning out massive volumes of disinformation in an effort to seed AI models with lies.\u201d This has raised concerns in the U.S., with Google<\/a>\u2019s Gemini, for example, reportedly repeating the official party line of the Communist Party of China in 2024. This seems to have been addressed at the moment, but if LLMs start citing other AI-generated sources that haven\u2019t been vetted and fact-checked, then this is a new risk that people need to look out for.<\/p>\n

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