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Smolmachines & Smolvm: Secure Sandboxing for Untrusted Python/JS Code

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Originally published on Simon Willison's Weblog by Simon Willison

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Smolmachines & Smolvm: Secure Sandboxing for Untrusted Python/JS Code

Summary & Key Takeaways ​

  • smolmachines and smolvm offer a secure sandbox for untrusted Python and JavaScript code.
  • The goal is to limit RAM/CPU, prevent network access, and restrict filesystem access.
  • Claude Fable 5 was tasked with testing the sandbox for data transformations.
  • The AI agent creatively used GitHub Actions to bypass environment limitations.
  • This demonstrates proactive problem-solving by advanced AI models.
  • The technology is relevant for executing user-provided tasks securely.

Our Commentary ​

This is a fascinating intersection of secure execution and AI capabilities. The AI agent's ability to adapt and find a workaround is genuinely impressive. It makes me wonder about the future of dev environments and how much more autonomous these systems will become. We're seeing AI not just generate, but actively troubleshoot its own operational constraints.

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