Summary of Pc Agent: While You Sleep, Ai Works — a Cognitive Journey Into Digital World, by Yanheng He et al.
PC Agent: While You Sleep, AI Works – A Cognitive Journey into Digital World
by Yanheng He, Jiahe Jin, Shijie Xia, Jiadi Su, Runze Fan, Haoyang Zou, Xiangkun Hu, Pengfei Liu
First submitted to arxiv on: 23 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper presents PC Agent, an AI system that aims to bridge the gap between simple tasks and complex work by capturing and learning from human cognitive processes. The key innovation lies in efficiently collecting high-quality interaction data with complete cognitive context using PC Tracker, a lightweight infrastructure. This data is then transformed into rich cognitive trajectories through a two-stage cognition completion pipeline. The resulting multi-agent system consists of a planning agent for decision-making and a grounding agent for robust visual grounding. Preliminary experiments demonstrate the effectiveness of this approach in creating complex digital work capabilities, such as handling PowerPoint presentation creation with up to 50 steps across multiple applications. This data-efficient method has significant implications for training capable digital agents. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine an AI that can help you with your work while you sleep! Currently, digital agents can do simple tasks, but they’re not good at complex real-world work like humans. The PC Agent is a system that shows how to get closer to this goal by understanding human thoughts and actions when using computers. To do this, the researchers developed three important parts: a tool called PC Tracker that collects data about what people do on their computers, a way to turn raw data into meaningful information about what’s happening in people’s minds, and a combination of two agents that work together to help with decision-making and understanding visual information. The results are promising, showing that the AI can handle complex tasks like creating presentations with many steps. This is an important step towards making digital agents more capable. |
Keywords
» Artificial intelligence » Grounding
