Stop using natural language interfaces (tidepool.leaflet.pub)

A new post emphasizes the importance of rethinking natural language interfaces for LLMs due to their significant latency issues, which can often cause delays of tens of seconds for a response. While natural language processing offers flexibility and semantic understanding, it frequently leads to slower interactions compared to traditional graphical user interfaces (GUIs) that offer rapid, structured feedback. The author introduces a tool called Popup-MCP, designed to integrate structured GUI elements with LLM interfaces. This tool allows for dynamic popups containing checkboxes, sliders, and dropdowns that use conditional visibility to enhance user interaction and significantly reduce interaction latency. The significance of Popup-MCP for the AI/ML community lies in its ability to streamline user interaction with LLMs, effectively decreasing the time needed to navigate conversations and explore options. By using nested dialogue trees and always-present escape hatches for user correction, the tool reduces the back-and-forth typically associated with LLM queries, allowing for a more efficient exchange of information. The author highlights that this innovation could cut interaction latency by 25-75%, transforming user experience in applications from creative writing to problem-solving. This approach not only makes LLMs more practical but also showcases potential advancements in user interface design within the AI space.