三星憋大招：本地大模型上车S26，手机AI的端侧大战要打响了？

Core Insights - Mobile manufacturers are increasingly integrating AI capabilities, with companies like Honor and Huawei enhancing their AI systems for better user interaction [1][3] - Despite advancements, mobile AI still relies heavily on cloud connectivity, indicating that it has not yet fully transitioned to local processing [1][4] - Samsung is set to introduce a local large model in its upcoming Galaxy S26 series, which could signify a shift towards more autonomous mobile AI functionalities [3][10] Group 1: Current Trends in Mobile AI - The integration of AI in mobile devices is becoming more sophisticated, with features that allow for seamless task completion across applications [1][4] - Samsung's local model, previously known as "Gauss," is being revisited as the company aims to enhance its AI capabilities beyond cloud reliance [3][10] - The industry is witnessing a shift where AI is expected to take on more operational roles rather than just answering queries, indicating a move towards more complex interactions [7][16] Group 2: Challenges and Limitations - The current model of cloud-based AI is effective due to the computational power available in cloud servers, which handle complex tasks while mobile devices manage basic interactions [4][12] - Local deployment of AI models faces significant challenges, including hardware limitations related to memory, processing power, and energy consumption [8][10] - The transition to fully local AI models is hindered by the need for stability and maintenance, as local models cannot be updated as rapidly as cloud-based ones [8][11] Group 3: Future Outlook - The advancements in chip technology, such as Qualcomm's Snapdragon 8 Gen 2, are paving the way for more capable local AI models that can handle continuous tasks [10][12] - While local AI models are being discussed, the consensus among manufacturers is that a hybrid approach of cloud and local processing remains the most viable solution for the time being [12][16] - The introduction of local AI capabilities may not drastically change the mobile AI landscape immediately, but it will raise the technical standards for flagship devices [16]