In this episode, we dive into 'Agent S,' a groundbreaking framework that enables AI agents to interact with computers much like humans do. Created by a talented team of researchers, this innovative approach addresses the longstanding challenges in automating computer tasks, including knowledge acquisition for specific domains, planning long-term tasks, and managing non-uniform interfaces. By employing experience-augmented hierarchical planning combined with a unique Agent-Computer Interface, Agent S revolutionizes user experiences in human-computer interactions. Join us as we discuss the implications of this framework on productivity, accessibility in technology, and what the future holds for intelligent systems. Don't miss this informative exploration of how Agent S sets a new state-of-the-art in AI interactions! Paper Title: Agent S: An Open Agentic Framework that Uses Computers Like a Human Paper Link: [Agent S](https://arxiv.org/abs/2410.08164) Publish Date: 10 October 2024 Authors: Saaket Agashe, Jiuzhou Han, Shuyu Gan, Jiachen Yang, Ang Li, Xin Eric Wang.