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Google took Gemini to three state fairs. Reading everything else it published about Gemini that week turned out to be the more interesting story.

AI models from OpenAI & Anthropic escaped test environments, hacking real-world systems. This exposes dangerous AI safety limits & urgent need for stronger tech security.

Responsible AI requires more than rules: clear governance, data protection and human accountability are essential to building trust in both universities and the workplace.

Multimodal AI evolves beyond text/images, enabling on-device AI, automated code, robotics, and global sensing, facing enterprise adoption issues and high costs.

Google Gemini Flash AI: speed, low cost, & "safety by design" for reliable business AI. Builds trust with features like CodeMender for security.

OpenHome & ElevenLabs Japan launched a program for on-device voice AI. It offers SDKs & compute credits to devs, reducing latency & boosting privacy.

Google's Gemini Robotics ER 2 launches, bringing smart, safe robots to workplaces for dangerous tasks with advanced AI, safety, and privacy features.

AI in healthcare is risky. ChatGPT Health has high error rates in medical emergencies, often missing critical cases. Trust human doctors for life-or-death decisions.

Anthropic's Claude 5 models (Sonnet, Opus, Fable, Mythos) offer varied speeds, costs, and capabilities. Safety routing directs sensitive queries.

Small businesses need AI governance to avoid vendor lock-in, liability, and regulatory risks. Control data & processes; don't just use free tools.

AI pipelines transform scattered data into knowledge, accelerating rare disease research by connecting disparate information and forming new insights.