
GitHub has transitioned to using GPT-5.3-Codex as the base model for its Copilot Business and Enterprise services, replacing the previous GPT-4.1 model. This new model, developed in partnership with OpenAI, is GitHub's first long-term support model, ensuring availability for 12 months, which is vital for enterprise security and stability. The model is noted for its high code survival rate among enterprise customers. While GPT-5.3-Codex comes with a premium request unit multiplier, GPT-4.1 will still be available temporarily until the introduction of usage-based billing in June 2026.
Read originalThe latest release of llama.cpp, b10955, tackles a critical issue of heap corruption by disabling the ggml-cpu precompiled header and fixing CACHE_LINE_SIZE ambiguity. This update ensures consistent CACHE_LINE_SIZE values across C++ kernels and C work-buffer sizing code, preventing heap-buffer-overflow and subsequent crashes. By restoring the natural include order and removing the std::hardware_destructive_interference_size branch, the update makes the value deterministic and include-order independent. This release is a technical fix that stabilizes the runtime environment for developers using llama.cpp.
The latest llama.cpp release, b10956, introduces significant improvements to the SYCL backend, particularly for handling large k values in TOP_K operations. By implementing a radix select method, the update allows for efficient GPU-resident processing, avoiding previous limitations that forced operations to fall back to the CPU. This change enhances performance, especially in scenarios requiring large k values, such as qwen4exp's sparse-attention indexer. The update ensures that operations are more efficient and scalable, providing a notable boost in processing speed without regressing any measured shapes.