
Google DeepMind has introduced new models in its Gemini series, including the 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber. The 3.6 Flash model improves token efficiency by 17% compared to its predecessor, offering better performance in coding and knowledge work. The 3.5 Flash-Lite model is optimized for speed and cost, delivering 350 output tokens per second. The 3.5 Flash Cyber model, designed for cybersecurity, will be available to governments and trusted partners. These models are now accessible through various platforms, including Google AI Studio and the Gemini app.
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Google DeepMind Unveils Gemini 3.5 Flash Cyber
6 developments
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.
© Lev SelectorAnthropic released Claude Opus 5.5 on September 22, while OpenAI launched GPT-6 Sol and Luna variants, advancing frontier model capabilities.