Models & Labs
Google Introduces Cost-Effective AI Security Model
The Verge AIhigh confidence
Why it matters
- →Provides a cost-effective alternative to expensive AI security models.
- →Enhances cybersecurity capabilities by identifying unique vulnerabilities.
- →Demonstrates competitive performance against larger models on benchmarks.
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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llama.cpp b10085 release updates Qwen3-VL interpolation
The latest b10085 release of llama.cpp addresses a key issue with the Qwen3-VL vision model's position embedding interpolation. By aligning the interpolation method with the transformers reference, the update ensures more accurate grounding coordinates, particularly for larger and non-square images. This change is crucial for developers working with image processing tasks, as it reduces discrepancies in image scaling. While the update doesn't introduce new models, it enhances the precision of existing functionalities, making llama.cpp a more reliable tool for AI developers.
