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# Computer-Use 2.0: Agents Just Got Multi-Cursor — Francesco Bonacci, Cua

**[AI Engineer](https://daily.dev/sources/aidotengineer)** · 16 min read · 0 upvotes · 0 comments

## Summary

Francesco Bonacci and his team at Cua present their computer-use agent stack, covering three components: Quad Driver (an open-source background computer-use driver for macOS, Windows, and Linux that uses accessibility trees and pixel-level clicks without taking over the screen), KuaBench (an evaluation framework with 130+ verifiable GUI tasks across 5 platforms, including a specialized electrical engineering benchmark built with Snorkel AI), and Kua Fleet (infrastructure for RL training that uses demand-based autoscaling of sandbox pools to minimize GPU idle time during environment resets). Key results show switching from the built-in computer tool to Kua Driver improves pass rates from 62% to 80% while using 34% fewer tokens. Current model performance on complex tasks remains low, with no model exceeding 30% reward on their leaderboard.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=ZSQb5fzRFPw>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#reinforcement-learning](https://daily.dev/tags/reinforcement-learning)

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