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BlockBeats News, December 10, Tether today announced the launch of QVAC Health, a brand-new personal health management platform designed to address the long-standing issue of fragmented health and fitness data, while empowering users with complete control over their own data. As a "sovereign data bridge," QVAC Health enables users to consolidate biometric data, training records, nutrition tracking, medication reminders, and more from various devices and applications into a unified, encryptable, and offline-usable dashboard. Currently, personal health data is scattered across a variety of incompatible applications and proprietary cloud systems. Data from smart rings, running watches, and nutrition tracking apps often cannot communicate naturally and can only be transferred through third-party servers, which typically collect and monetize user information. QVAC Health integrates this data into a single encrypted environment that supports offline use, allowing users to have a comprehensive view of their health without relying on device manufacturers or cloud platforms. The platform is designed as a core operating system for personal health, enabling the aggregation of multiple types of data under the user's control.

BlockBeats News, December 10, after investing tens of billions of dollars to build the most expensive team in tech history for several months, Meta CEO Mark Zuckerberg is now deeply involved in daily R&D and is steering the company’s strategy toward directly monetizable artificial intelligence models. According to sources, a new model codenamed "Avocado" is expected to launch in spring 2026 and may be released in a closed-source format (meaning Meta will strictly control and sell access to it). This move marks a significant departure from Meta’s long-standing open-source approach. Zuckerberg is dedicating substantial time to a core team called TBD Lab, which, during the training of Avocado, even integrated third-party models including Google Gemma, OpenAIgpt-oss, and Alibaba Qwen. Meanwhile, Meta is making major adjustments to resource allocation, cutting investments in the metaverse and virtual reality, redirecting funds toward hardware such as AI glasses, and planning to invest $600 billion in AI infrastructure in the United States over the next three years. (Golden Ten Data)