[Bonus] This is a bonus episode. We had too many unreleased episodes in our backlog, so we decided to give you an extra treat this week! Hope you enjoy!

This episode explores the idea of making large language model interactions more transparent and immersive for users. The hosts discuss the potential of showing intermediate steps and outputs instead of just providing a final result. They envision an interface where the AI agent's process is visualized, such as displaying the generated search terms, rendered search results, visited web pages, and other intermediary steps. This approach aims to build user trust, provide insights for engineers to optimize the systems, and allow varying degrees of user control akin to management styles.

The conversation highlights the need to move beyond the current "magic" of inputting text and receiving an output. By presenting the AI's workflow in a visually intuitive manner, users can better understand and even interact with the process. The hosts propose combining traditional UI elements like search bars and web page renderings with conversational AI interfaces. This transparency could pave the way for more advanced and reliable AI applications that meet users' needs while fostering trust through insight into the underlying mechanisms.

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