上月末，Meta血裁600人团队，震惊全球，而AI大佬田渊栋官宣自己也被裁员。 田渊栋是Meta前AI研究总监，在Meta期间，田渊栋主导了多项重要研究成果，据其谷歌学术主页显 示，他的论文总引用数已超过18000次。 这位从顶尖人工智能研究部门离职的AI科学家，在被裁员后，包括 OpenAI、谷歌等在内的地球上最牛 的科技公司纷纷向他抛来橄榄枝，这可是真的"大神"。 这次AI大厂内部的人员精简，以及大佬的离职也引发了业界的一系列关注。 近日，田渊栋接受了"硅谷 101"栏目的访谈。除了聊到这次的裁员，还有AI行业正迎来的大趋势。 他提到，"随着自动化程度越来越高，总有一天大家都没有工作。" 因为AI，原本需要几百人甚至几千人做的事情，现在因为高度自动化和AI Agent 的应用，不再需要那 么多人。 "未来做AI的人会越来越少，而用AI作为工具去探索其他领域的人会越来越多。" 但于此同时，田渊栋表示人类的核心价值仍旧是AI无法取代的。 AI缺乏高层的human insights (洞察力)、human knowledge (人类知识) ，以及对问题的独到见解。 "在人类历史的长河中，有各种各样的科学家，他们 ...

Core Insights - OpenAI has recognized a growing emotional connection between users and AI, particularly with ChatGPT, leading to a focus on the implications for emotional health [3][4][15] - The company is exploring the complexities of defining AI consciousness and how this affects user interactions and expectations [8][10][11] Group 1: Emotional Connection with AI - Users increasingly perceive interactions with ChatGPT as conversations with a person, expressing gratitude and sharing personal feelings [3][4][7] - This emotional engagement raises concerns about how reliance on AI for emotional support may alter human relationships and expectations [7][15] Group 2: Defining AI Consciousness - The discussion around AI consciousness is divided into two dimensions: ontological consciousness (does AI have inherent awareness?) and perceptual consciousness (how aware does AI seem to users?) [8][9][10] - OpenAI aims to clarify these concepts in user interactions, emphasizing the complexity of consciousness rather than providing simplistic answers [8][10] Group 3: Model Behavior and Design - OpenAI is committed to designing AI models that are warm and helpful without implying they possess self-awareness or emotions [11][12] - The company seeks a balance between user-friendly language and clear boundaries regarding the capabilities of AI [11][14] Group 4: Future Directions - OpenAI plans to conduct further research on the emotional impacts of AI interactions and incorporate user feedback into model behavior and design [15][16]