
Google DeepMind has introduced Gemini 3.8 Flash and 3.8 Flash Cyber, two advanced AI models designed to enhance reasoning and cybersecurity capabilities. Gemini 3.8 Flash is tailored for complex software engineering tasks, offering significant improvements over previous models at a lower cost. The Cyber variant focuses on vulnerability detection and automated patching, providing a competitive edge in cybersecurity. These models are available to developers and enterprises, with the Cyber version offered through the Fairwind Program to trusted defenders.
Read originalLlama.cpp's b10766 release marks a notable enhancement by enabling input vision capabilities for the deepseek4 model. This update expands the framework's reach across a variety of platforms, including macOS, Linux, and Windows, with integration for Vulkan, ROCm, and CUDA technologies. While no new models are added, the focus is on strengthening the existing infrastructure, making it more adaptable for developers using different hardware setups. This quiet yet impactful update ensures that llama.cpp remains a versatile and reliable tool for AI developers, enhancing its utility without altering its core model offerings.
Llama.cpp's latest update enhances its Hexagon backend by adding F16 support for unary operations, including the ABS function. This development extends the existing capabilities of the HTP backend, which already supports operations like NORM and SQRT. By merging F32 and F16 execution paths, the update streamlines processing and avoids redundancy, ensuring efficient operation across different data types. This change is verified on-device, indicating robust performance without CPU fallback. The update signifies a step forward in optimizing AI model execution on diverse hardware platforms.
© The Verge AIGoogle's new Gemini 3.8 Flash model promises enhanced performance by executing more reasoning steps and iteratively calling tools, potentially increasing token usage and costs. Despite maintaining the same introductory pricing as its predecessor, the model's efficiency in handling complex tasks could lead to higher expenses for users. It has shown significant improvements in software engineering and autonomous AI agents, outperforming competitors on various benchmarks. The model is available to consumers and developers, with a special version, Gemini 3.8 Flash Cyber, offered to governments and trusted partners through Google's Fairwind Program.