
OpenAI has integrated its Codex coding tool into the ChatGPT app, allowing users to manage development workflows from their mobile devices. This update, available on both iOS and Android, enables users to control tasks, review outputs, and initiate new projects remotely. The integration follows recent enhancements that allow Codex to operate autonomously on desktops and in live browser sessions. This move highlights the competitive landscape between OpenAI and Anthropic, as both companies strive to make their coding tools more accessible and widely used.
Read originalThe latest llama.cpp release, b9145, tackles a significant issue with SYCL's memory allocation on multi-GPU systems, particularly those using Intel Arc Pro GPUs. By replacing sycl::malloc_device with zeMemAllocDevice, the update drastically reduces system RAM usage from 60 GiB to just 6.7 GiB for a 15.6 GiB model, preventing out-of-memory crashes without sacrificing performance. This change is crucial for developers working with large models on multi-GPU setups, as it ensures more efficient memory management. The update also includes several improvements and bug fixes, enhancing the robustness of the SYCL backend.
Llama.cpp's latest release enhances its capabilities with a non-backtracking tokenizer handler specifically designed for Qwen3.5. This update significantly improves Unicode tokenization, addressing stack overflow issues that occur with long inputs. By adapting the previous Qwen2 fix to meet Qwen3.5's regex requirements, including support for accent marks, the update ensures more reliable text processing. Developers can now expect more stable performance when handling complex Unicode inputs, benefiting from the robust tokenization across different operating systems and hardware configurations. This means smoother operations on platforms like macOS with KleidiAI, Ubuntu with ROCm 7.2, and Windows with CUDA 12 and 13.