OpenAI has announced new security measures for running Codex, its AI coding assistant. The company is using sandboxing to isolate Codex's operations, along with network policies to manage data flow securely. Agent-native telemetry is also employed to monitor and log activities, ensuring compliance and safety. These measures are designed to support the safe and compliant adoption of Codex by developers. OpenAI's focus on security aims to build trust and encourage wider use of its AI coding tools.
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This release quietly cements llama.cpp as the universal inference runtime by finally supporting NVIDIA's latest CUDA 13 stack alongside AMD's ROCm 10.0. The inclusion of native builds for Linux arm64 with Snapdragon chips, covering CPU, Adreno GPU, and Hexagon NPU, signals a serious push into mobile edge deployment. While Apple Silicon KleidiAI is disabled in this specific build, the broader hardware coverage means developers no longer need to compile from source for most modern accelerators. It’s less about new features and more about removing friction for anyone running local models on bleeding-edge or diverse hardware.
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OpenAI Enhances Codex Security Measures
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