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The article discusses the evolving landscape of search engines, particularly with the integration of AI technologies. It highlights how large language models (LLMs) like Microsoft’s Copilot and Google’s Overviews are reshaping user interactions with search tools. The piece raises critical questions about what constitutes a good search engine in this new context.
Four distinct search tool models are proposed: Customer Servant, Librarian, Journalist, and Teacher. Each model reflects different approaches to information retrieval and user engagement, with unique strengths and weaknesses. The discussion emphasizes the need for balance in search engine design to ensure user autonomy while combating misinformation.
• AI models like Copilot and Overviews enhance search engine capabilities.
• Four search tool models illustrate different approaches to information retrieval.
LLMs are AI systems designed to understand and generate human-like text, influencing search functionalities.
A search engine retrieves information from the web based on user queries, now enhanced by AI.
This process involves obtaining information from a large repository, crucial for effective search engine performance.
Microsoft's Copilot integrates AI to enhance user experience in search functionalities.
Google's Overviews utilize AI to provide more relevant search results and user insights.
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