Core Viewpoint - Google has launched the Pixel 10 series, showcasing advanced AI features, positioning itself as a leader in mobile AI technology, while also raising concerns about the allocation of memory for AI functions that may not be utilized by all consumers [1][3][12]. Group 1: Product Features and Innovations - The Pixel 10 series introduces real-time voice translation, song generation from humming, Magic Cue, and Camera Coach, highlighting its AI capabilities [1]. - Google has allocated 3.5GB of the 12GB RAM specifically for AI functions, utilizing the Tensor G5's TPU to enhance performance [3][8]. - The design change from the previous Pixel 9, which did not have dedicated AI memory, indicates lessons learned from past user experiences regarding AI performance [5]. Group 2: User Experience and Performance - The need for sufficient memory is critical for local AI model processing, as using flash storage could lead to significant delays in task execution, which is not acceptable in a fast-paced environment [5][6]. - The dedicated AI memory aims to prevent system lag when multiple applications are running simultaneously, addressing potential performance issues [8][12]. - Users may experience a decline in performance over time, as the hardware may struggle with future software demands, raising concerns about the longevity of the device [12][14]. Group 3: Consumer Implications - The allocation of "AI dedicated memory" may lead to consumers paying for features they do not use, effectively reducing their available memory to 8.5GB if AI functions are not utilized [14][16]. - There are concerns about misleading marketing, as the total RAM advertised does not reflect the actual usable memory for non-AI users, prompting calls for clearer communication [16].
手机内存也有“公摊”,谷歌新机搞了个“AI专用”