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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Running Python code in a sandbox with MicroPython and WASM

    Simon Willison has developed a new Python package called micropython-wasm to create secure sandboxes for running untrusted code. This tool aims to mitigate risks associated with plugins in his open-source projects like Datasette, preventing buggy or malicious code from compromising the application or user data. By leveraging WebAssembly and MicroPython, the sandbox enforces memory and CPU limits, strictly controls file and network access, and allows for the careful exposure of host functions. AI

    IMPACT Enables safer execution of untrusted code, potentially accelerating plugin development and integration in AI applications.