
Anthropic's Claude Fable 5 model is now available in GitHub Copilot, marking the first Mythos class model designed for autonomous coding and knowledge tasks. Unlike previous models, Claude Fable 5 requires data retention for up to 30 days to operate safety classifiers, a departure from the zero data retention policy of other Claude models. This model is available to Copilot Pro+, Max, Business, and Enterprise users and promises more efficient coding with fewer tool calls. The rollout will be gradual, and administrators must enable the policy to access the model.
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.