Part 4/10:
In traditional search, the goal was to find relevant documents within a massive web of data. With AI, these needs can be addressed through interactive retrieval, where AI models act as personalized information hubs capable of understanding context, filling in knowledge gaps, and supporting deeper conversations.
The speaker describes their personal use of ChatGPT primarily as a research assistant, used to gather information, clarify complex topics, and brainstorm ideas—all without the need for multiple web searches. This illustrates how LLMs are now tools for information foraging, enabling users to navigate vast pools of data more efficiently.