The Death of Sources: Why AI Answers Are Triggering a Digital Earthquake and How to Survive the Attribution Crisis
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The Death of Sources: Why AI Answers Are Triggering a Digital Earthquake and How to Survive the Attribution Crisis
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In this episode, we discuss the profound shift in the search paradigm brought about by the rise of Generative Artificial Intelligence (GAI) and Large Language Models (LLMs).
It was based on the article I published yesterday, which was initiated after I saw the video presented by Professor Jenna Hartel, offering a detailed analysis of Olaf Sundin's conference paper. The paper theorizes how GAI is forcing a re-evaluation of the concepts of search, sources, and information evaluation.
To write the blog post, I used Sundin's work as a starting point to argue that GAI is causing the "death of sources," since systems now provide direct answers instead of directing users to source documents.
We then agreed that this shift undermines the traditional evaluation of information and concluded that the SEO solution (Search Engine Optimization) professionals should focus on semantic SEO, making content structured and semantically rich so that it becomes a reliable source of facts that feeds AI algorithms.