
Google has launched Gemini 3.5 Flash Cyber, a new AI security model aimed at quickly identifying and patching vulnerabilities. Positioned as a cost-effective alternative to larger models like Anthropic's Mythos, it integrates with Google's CodeMender to enhance security capabilities. The model has shown competitive performance, identifying unique issues in the V8 JavaScript Engine. This move highlights Google's strategy to offer efficient AI solutions for cybersecurity, particularly for governments and trusted partners.
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This release quietly expands llama.cpp's hardware support to include Qualcomm's Hexagon NPU on Linux arm64, a significant step for local inference on Snapdragon devices. It also updates CUDA builds to version 13.4 and introduces ROCm 10.0 binaries, keeping the project aligned with the latest NVIDIA and AMD driver ecosystems. KleidiAI on Apple Silicon is temporarily disabled in this build, likely due to stability checks rather than a feature rollback. For developers targeting edge AI or diverse GPU stacks, this update ensures broader compatibility without requiring custom compilation.
© Lev SelectorNVIDIA introduced the NVFP4 4-bit format and SoL-Pi technology, which uses 2x fewer tokens for improved efficiency.
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Google DeepMind Unveils Gemini 3.5 Flash Cyber
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