Core Viewpoint - Lenovo has unveiled its "Trusted Hybrid Computing Solution" in collaboration with Volcano Engine, enhancing the security capabilities of its Tianxi personal superintelligence from endpoints to the cloud, ensuring safety both online and offline [1][2]. Group 1: AI Development and Security - The rapid development of large model technology and the emergence of DeepSeek have accelerated the growth of artificial intelligence in China, posing significant challenges to data security and personal privacy protection [1][2]. - Lenovo's hybrid AI technology path, proposed in 2023, extends from personal trusted computing devices to secure personal clouds, forming a privacy-enhanced computing and full-link protection technology system [2][3]. - The Tianxi personal superintelligence is designed to ensure absolute data security during transmission and processing between endpoints and the cloud [2][3]. Group 2: Technological Features and Capabilities - The Trusted Hybrid Computing Solution is based on Lenovo Personal Cloud 1.0, featuring core technologies such as Trusted Execution Environment (TEE), trusted transmission, and endpoint-cloud mutual trust [3]. - Tianxi personal superintelligence is equipped with a 720 billion parameter large language model and offers users a dedicated memory space starting from 100GB, combined with RAG technology to create an expandable knowledge base [3][4]. - Tianxi possesses multiple interaction capabilities, including voice, text, and visual, along with full-time memory and autonomous planning execution, redefining the smart interaction experience [4]. Group 3: Market Impact and Future Prospects - Since the launch of the world's first true AI PC in May last year, Lenovo has sold over one million units, with Tianxi's daily active users growing exponentially and achieving an advanced customer net promoter score [5]. - Lenovo aims to empower individuals and industries through AI, facilitating the rapid development of China's AI industry on a global scale [5].

Core Insights - The AI sector is entering a phase of rapid innovation, with advancements such as DeepSeek's integration of algorithm innovation and engineering optimization, and the release of Llama 4 accelerating the deployment of multimodal large models [1] - Privacy and data security are significant challenges faced by the AI large model field, as discussed at the 2025 Lenovo Innovation Technology Conference [1] Group 1: Data Security and Privacy Protection - Lenovo's CEO Yang Yuanqing emphasized the importance of hybrid AI from the perspectives of personal data protection, enterprise data protection, personal privacy protection, and corporate intellectual property protection [3] - Yang stated that data security and privacy protection are foundational to the three main functions of "super intelligent agents," which represent non-negotiable value propositions and innovation principles [3] - The contradiction between the need for accurate responses and the desire to protect personal data is highlighted, suggesting that personal trusted computing can be a solution by utilizing users' own devices for data learning and inference [3] Group 2: Technological Advancements and Applications - Lenovo's CTO Tolga Kurtoglu noted that data security and privacy protection are crucial in developing "super intelligent agents," advocating for local processing of sensitive information on devices [4] - The need for robust data security measures when transferring data to the cloud is emphasized, along with the importance of anonymizing sensitive information [4] - Yang revealed that Lenovo plans to introduce Deepfake detection technology to mitigate the risk of personal image theft, showcasing the company's commitment to enhancing data security [4]