
Demis Hassabis, CEO of Google DeepMind, has criticized the idea that AI will lead to job cuts in software development, emphasizing the productivity potential of AI models like Gemini 3.5 Flash. This model, showcased at Google's I/O event, can perform complex coding tasks, but Hassabis believes it should enhance rather than replace human roles. Google's new AI tools, including Antigravity and the assistant Spark, aim to improve coding efficiency while ensuring safety. Despite fears of job displacement, Hassabis argues for using AI to expand project possibilities rather than reduce the workforce.
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.