字节即梦张楠：帮人类提升创造力，才是更有意义的「目标函数」

Core Viewpoint - The relationship between humans and AI is evolving towards collaboration, where AI acts as a creative partner rather than just a tool, enhancing human capabilities and creativity [18][20][21]. Group 1: AI in Creative Processes - The "Dream AI Youth Director Collaboration Program" showcases how AI can assist creators in transforming their ideas into visual narratives, exemplified by the short film "Mom's Wish" [6][12]. - The creative process involves significant collaboration between human directors and AI, with weekly meetings to discuss technical improvements and storytelling [11][12]. - AI tools are seen as amplifiers of human creativity, allowing creators to explore new realms of storytelling that were previously inaccessible [20][21]. Group 2: The Nature of AI Tools - AI is positioned as a tool that serves creators by helping them realize their visions more effectively, rather than merely being a means to an end [18][19]. - The distinction between traditional tools and AI tools lies in the inherent intelligence of AI, which requires a different approach to collaboration [20]. - The concept of AI as a "bicycle for the brain" emphasizes its role in enhancing human capabilities rather than replacing them [20]. Group 3: Sora vs. Traditional Platforms - Sora is not merely an "AI version of Douyin" but focuses on creativity and imagination, contrasting with Douyin's emphasis on real-life moments [25][26]. - The challenge for Sora lies in maintaining user engagement through imaginative creation, which is inherently more challenging than recording real-life events [26][27]. Group 4: Organizational Structure in AI Era - The internal structure of companies like Dream reflects a startup-like environment, with small, agile teams that can rapidly iterate on projects [42][43]. - The trend towards "anti-middle platform" structures allows for more integrated and flexible team dynamics, especially in exploratory projects [44]. Group 5: The Drive for Creation - The focus on creation over entrepreneurship highlights the importance of curiosity, learning, and resilience in driving innovation within AI [46][49]. - The future of storytelling may shift from linear narratives to spatial narratives, allowing audiences to engage more interactively with content [52][53].