社交，才是 AI视频ToC 的终局

Core Insights - The article emphasizes that the essence of social interaction has evolved with technology, particularly highlighting the shift from direct communication to content-driven interactions facilitated by algorithms [24][25][26]. Group 1: Evolution of Social Interaction - The rise of mobile internet marked a significant change in how people connect, with messaging emerging as the "killer app" [2][3]. - WeChat, as a pivotal platform, transformed social interactions by focusing on maintaining relationships rather than just facilitating communication [4][5]. - The transition from "connection" to "distribution" occurred around 2016, with algorithms reshaping how content is delivered to users [6][7]. Group 2: Algorithmic Influence - The algorithm-driven content distribution model has led to a shift where users engage with content rather than directly with each other, changing the dynamics of social relationships [8][12]. - Emotional engagement metrics, such as likes and shares, have become crucial for content visibility, effectively monetizing user interactions [9][10]. - Relationships have become more superficial and widespread, with interactions among strangers becoming more common due to algorithmic recommendations [10][12]. Group 3: Future of Social Interaction - AI video technology is poised to redefine personal identity and social presence, allowing users to create and project their identities without physical presence [15][16]. - The concept of "existence" is being transformed, as AI can now facilitate social interactions and maintain relationships on behalf of users [19][20]. - The future of social interaction may involve AI systems managing relationships, making social engagement more automated and less reliant on direct human effort [21][22]. Group 4: Implications of AI in Social Media - The proliferation of AI-generated content is changing the landscape of social media, where the ability to "appear" and "exist" digitally becomes a competitive advantage [27][29]. - The shift towards AI-driven interactions suggests a new paradigm where emotional expressions and social connections are quantified and managed by algorithms [18][23].