Why Computer-Use Agents Should Think Less
9 days ago
- #AI
- #Human-Computer Interaction
- #Machine Learning
- Archon is a copilot for computers that won #3 at OpenAI's GPT-5 Hackathon.
- It uses a mini vision model for speed and GPT-5 for reasoning to plan actions.
- Archon sits at the bottom of the screen, allowing users to input commands in natural language.
- It captures screenshots, uses GPT-5 to plan actions, and a fine-tuned model to execute clicks and keystrokes.
- Demonstrated in a racing game, Archon followed instructions to navigate the track using WASD controls.
- Archon leverages GPT-5's advanced reasoning for development, debugging, and training.
- The system uses a hierarchical approach: GPT-5 plans actions, and Archon-Mini executes precise clicks.
- Archon-Mini is a 7B Qwen-2.5-VL-based model fine-tuned for GUI grounding.
- The system optimizes compute usage for accuracy and latency, with adaptive reasoning for different user needs.
- Future plans include streaming capture pipelines and distilling plans into local models for faster execution.
- The goal is to create a self-driving computer, inspired by Tesla's end-to-end neural net approach.