# Why Anthropic Thinks AI Should Have Its Own Computer — Felix Rieseberg of Claude Cowork & Claude Code Desktop

Page: https://stenobird.com/podcast/latent-space-ai-engineer/why-anthropic-thinks-ai-should-have-its-own-computer-felix-rieseberg-of-claude-cowork-claude-code-desktop
Text version: https://stenobird.com/podcast/latent-space-ai-engineer/why-anthropic-thinks-ai-should-have-its-own-computer-felix-rieseberg-of-claude-cowork-claude-code-desktop.md
Podcast: [Latent Space: The AI Engineer Podcast](https://stenobird.com/podcast/latent-space-ai-engineer)
Published: 2026-03-17T21:39:16+00:00
Episode link: https://www.latent.space/p/felix-anthropic
Audio file: https://api.substack.com/feed/podcast/191097767/72a8d1a77282f7fee0214a7442ccfd40.mp3
Processing state: processed
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Duration seconds: 5219

## Resource

The future of AI agents lies in moving from chat interfaces to trusted, local-first execution environments. Felix Rieseberg explores how Anthropic's Claude Cowork uses virtual machines to provide a safe, powerful sandbox for complex, non-coding tasks.

## Highlights
- Main idea: The real frontier in AI is shifting from better chat interfaces to reliable, autonomous task execution
- Practical takeaway: Using VM-based sandboxes allows agents to install tools and run scripts without constant human approval
- Failure mode: Relying on 'approve every command' creates user exhaustion and breaks the flow of agentic workflows
- Main idea: Execution is becoming cheap enough that teams can prototype by building multiple competing candidates rapidly
- Practical takeaway: Local-first workflows are more powerful than cloud-only approaches because they can integrate with personal and professional context

## Topics

AI Agents, Claude Cowork, Anthropic, Virtual Machines, Agentic Workflows, Software Engineering, Automation, Local-first AI

## Chapters
- 1:00 — The Rise of Claude Cowork: An introduction to Claude Cowork and how it emerged from observing users applying Claude Code to non-coding knowledge work.
- 7:30 — Cloud vs. Local Execution: A discussion on the trade-offs between running AI agents in the cloud versus on a user's local machine.
- 13:50 — System Prompts and Agent Skills: How system prompts and specialized toolsets define the effectiveness of agentic workflows.
- 20:15 — Evaluating Agent Capabilities: The process of testing and steering Claude through specific tools and prompt engineering.
- 33:20 — AI for Knowledge Work: Moving beyond coding to use agents for data analysis, design-to-code, and automating manual digital tasks.
- 40:15 — The Limits of AI Autonomy: A debate on where AI should and should not act autonomously, such as in sensitive financial transactions.
- 59:55 — The Future of Privacy and Sandboxing: Exploring the use of virtual machines as a safety boundary and a way to handle sensitive personal data.

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## Transcript

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