# computer use insights

Rangoon Insights reporting and guides tagged computer use.

Canonical: https://rangoon.ai/insights/tags/computer-use/

## Topics
- [Agent systems](https://rangoon.ai/insights/topics/agents/): Agent runtimes, handoffs, tools, and the boundaries that make them reviewable.
- [Governance](https://rangoon.ai/insights/topics/governance/): Policy, identity, authorization, approvals, and evidence for consequential work.
- [Infrastructure](https://rangoon.ai/insights/topics/infrastructure/): Model serving, sandboxes, tool services, and deployment boundaries.
- [Models](https://rangoon.ai/insights/topics/models/): Inference choices, local serving, compatibility, and operational tradeoffs.

## Stories
- [OSWorld-Verified updated computer-use tasks, infrastructure and comparison rules](https://rangoon.ai/insights/archive-osworld-verified-computer-use-evaluation-july-2025/)
  XLANG Lab’s July 28, 2025 OSWorld-Verified release reported fixes to 300-plus issues, cloud parallelization and a refreshed basis for comparing computer-use agents.
- [Terminal-Bench launched an 80-task terminal-agent benchmark with containerized verification](https://rangoon.ai/insights/archive-terminal-bench-first-terminal-agent-release-may-2025/)
  Terminal-Bench’s May 19, 2025 launch introduced an 80-task terminal-agent set, dedicated Docker environments and tests that checked the state left by a configured agent run.
- [Claude Opus 4.5 made high-capability evaluation a cost-of-review question](https://rangoon.ai/insights/archive-anthropic-claude-opus-4-5-november-2025/)
  Anthropic introduced Claude Opus 4.5 on November 24, 2025, presenting a model for coding, agents, computer use, and complex professional tasks.
- [OpenAI released Operator as a U.S. Pro research preview for browser-based task execution](https://rangoon.ai/insights/archive-openai-operator-january-2025/)
  OpenAI released Operator on January 23, 2025 as a U.S. Pro research preview that used a browser to type, click and scroll through web tasks.


## More information

- [Documentation index](https://rangoon.ai/llms.txt)
- [AI access and policies](https://rangoon.ai/ai/)
- [Source repository](https://github.com/hypler-dev/rangoon)
