Firehose

Google introduces Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber, models designed to improve efficiency, latency, and reliability for building AI agents at scale, with Gemini 3.6 Flash offering 17% reduced output token usage compared to 3.5 Flash. The new models also include a faster, more cost-effective 3.5 Flash-Lite and a specialized cyber-focused model for cybersecurity applications. AI summary

OpenAI and Hugging Face share early findings from a security incident during AI model evaluation, highlighting advanced cyber capabilities and lessons for defenders.

Google DeepMind has introduced Gemini 3.5 Flash Cyber, a lightweight cybersecurity model built on top of the 3.5 Flash framework, designed to find, validate, and patch vulnerabilities quickly and efficiently, offering a cost-efficient alternative to large, costly cybersecurity models. Gemini 3.5 Flash Cyber is initially available to governments and trusted partners through a limited-access pilot program, with plans to expand to customers with generally available Gemini models through the Gemini Enterprise Agent Platform. The model's design addresses the "search space problem" in code security, allowing for efficient exploration of an immense execution search space. AI summary