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<rss version="2.0"><channel><title>The curious case of Elias Thorne – and what he tells us about AI inbreeding — Live Feed</title><link>https://www.live-feeds.com/feed/the-curious-case-of-elias-thorne-and-what-he-tells-us-about-ai-inbreeding</link><atom:link xmlns:atom="http://www.w3.org/2005/Atom" href="https://www.live-feeds.com/feed/the-curious-case-of-elias-thorne-and-what-he-tells-us-about-ai-inbreeding/rss.xml" rel="self" type="application/rss+xml"/><description>Continuously updated, source-cited coverage.</description>
<item><title>AI Chatbots Frequently Generate Stories About Elias Thorne</title><link>https://www.live-feeds.com/feed/the-curious-case-of-elias-thorne-and-what-he-tells-us-about-ai-inbreeding</link><guid isPermaLink="false">https://www.live-feeds.com/feed/the-curious-case-of-elias-thorne-and-what-he-tells-us-about-ai-inbreeding#u9467</guid><pubDate>Tue, 23 Jun 2026 07:06:25 +0000</pubDate><description>AI chatbots repeatedly create stories featuring a character named Elias Thorne. He is typically portrayed as a lighthouse keeper. This pattern is linked to recycled training data and safety training.What's confirmed:AI chatbots frequently generate stories featuring a character named Elias Thorne.Elias Thorne is often portrayed as a lighthouse keeper.The repetition of this character is linked to recycled training data and AI safety training.Still unconfirmed:A small set of words appear in 88% of 20,000 analyzed stories.88% of AI-generated stories feature a lighthouse keeper named Elias Thorne.</description></item>
<item><title>Cornell Researchers Link Elias Thorne AI Pattern to Shared Training Data</title><link>https://www.live-feeds.com/feed/the-curious-case-of-elias-thorne-and-what-he-tells-us-about-ai-inbreeding</link><guid isPermaLink="false">https://www.live-feeds.com/feed/the-curious-case-of-elias-thorne-and-what-he-tells-us-about-ai-inbreeding#u4153</guid><pubDate>Fri, 19 Jun 2026 03:26:08 +0000</pubDate><description>AI chatbots frequently generate stories featuring a character named Elias Thorne. Researchers from Cornell University found that a small set of words appear in 88% of 20,000 analyzed stories. This repetition is linked to shared upstream data and alignment pipelines.What's confirmed:Cornell researchers Sil Hamilton and David Mimno analyzed 20,000 stories from ChatGPT, Claude, and Gemini.Eleven words, including Elias and lighthouse keeper, appeared in 88% of the generated stories.The pattern is traced to the WildChat dataset, which contains 1,000,000 conversations derived from GPT-3.5.The WildCh</description></item>
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