Public health departments across the US will test AI models from OpenAI and Anthropic under a new program called PULSE. The initiative, supported by the Coalition for Health AI and Accenture, aims to develop implementation guidance for AI in public health. OpenAI and Anthropic have donated enterprise licenses for the trials, which will take place in ten jurisdictions. The program seeks to explore AI's role in areas like biosurveillance and public communications, though details on data handling and model configurations are not yet clear. The trials are set to begin in 2026, with findings expected in 2027.
Read originalSenseTime's Galaxy Project is a bold move to scale domestic AI chip infrastructure in China, aiming to create a closed-loop system that integrates chip technology, ecosystem partnerships, and commercial deployment. By collaborating with nearly 20 partners, including major domestic chip vendors, SenseTime seeks to enhance the efficiency and adaptability of AI computing power. The project also introduces a new metric, Tokens Per Watt, to measure data center efficiency, highlighting the company's focus on energy optimization. While the ambitious forecasts and claims of increased token throughput and cost-effectiveness are promising, they remain unverified by third parties, leaving room for skepticism until proven in real-world applications.
Google's introduction of Gemini 3.6 Flash and 3.5 Flash-Lite represents a strategic move to enhance AI agent efficiency in enterprise settings. These models are engineered to lower token costs and latency, which is vital for businesses deploying autonomous agents at scale. The 3.6 Flash model achieves a 17% reduction in output tokens compared to its predecessor, boosting performance in reasoning tasks. Meanwhile, 3.5 Flash-Lite provides a cost-effective solution for high-volume document processing. This development highlights Google's commitment to refining AI tools for practical, large-scale applications, making them more efficient and accessible for enterprise use.