Models & Labs
OpenAI Updates Codex with Superapp Features
The Rundown AIhigh confidence
Why it matters
- →The expansion of Codex's capabilities positions it as a stronger competitor in the AI tools market, particularly against offerings like Anthropic's Claude.
OpenAI has released a significant update to its Codex platform, introducing features such as background computer use, an in-app browser, and parallel agents. This update marks a step towards OpenAI's vision of a comprehensive superapp.
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Llama.cpp's latest update introduces speculative decoding support for GLM-5.2, enhancing its capabilities with NextN/MTP features. This addition allows for more efficient tensor loading and context management, particularly benefiting models using the GLM_DSA architecture. The update also includes options for exporting models with or without the MTP feature, providing flexibility for developers. This release marks a step forward in optimizing model performance and adaptability, especially for those leveraging the GLM-5.2 framework.
llama.cpp Releases
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Llama.cpp b10178 Release Adds Trace Logging
The b10178 release of llama.cpp enhances its server capabilities by adding trace logging for slot similarity checking, offering developers detailed insights into prompt cache slot selection processes. This update includes specifics on skip reasons and similarity calculations, which can aid in performance optimization. While no new model architectures are introduced, the release continues to support a wide array of platforms, such as macOS with KleidiAI, Ubuntu with ROCm 7.2, and Windows with CUDA 12 and 13. This makes llama.cpp a more versatile tool for developers working on different systems, reinforcing its position as a comprehensive inference runtime.
