AI-powered search engines rely on “less popular” sources, researchers find
SMRTR summary
AI-powered search engines draw information from different sources than traditional Google searches, relying more on corporate websites and encyclopedias while avoiding social media platforms. These AI systems compress information and sometimes miss secondary details that regular search results include, particularly for unclear search terms. While AI searches can use built-in knowledge for direct answers, they struggle with current trending topics compared to traditional web searches.
SMRTR provides this summary for quick context. The original article belongs to Ars Technica.
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