我们为什么对AI失望？

Core Insights - The concept of "agency" in AI refers to the ability of an entity to autonomously take action towards a target, distinguishing it from mere automation, which executes pre-defined solutions [1][14] - Current AI technologies lack true agency because they do not possess dynamic subjectivity, which is essential for understanding and responding to user needs in a nuanced way [7][14] Group 1: Understanding Agency - Agency is defined as the emergence phenomenon of life, which current AI technologies cannot replicate [14][16] - The distinction between agents and automation lies in the agent's ability to develop solutions based on user-defined goals rather than executing pre-existing solutions [1][14] Group 2: Limitations of Current AI - Current AI applications struggle to understand user needs deeply, often failing to recognize what users themselves do not know [2][12] - Users typically find it challenging to articulate their needs, which limits the effectiveness of AI in providing tailored solutions [12][15] Group 3: The Role of Subjectivity - Human interactions involve a level of empathy and understanding that AI currently cannot achieve, as AI lacks the ability to dynamically respond to the environment and user emotions [7][9] - The ability to resonate with users' underlying motivations is crucial in service industries, which AI has yet to master [4][6] Group 4: Market Expectations - The market's perception of AI is often misaligned with its current capabilities, leading to disappointment as users expect a level of dynamic agency that AI cannot provide [13][15] - Successful AI applications often reflect limited static subjectivity that resonates with user needs, rather than true agency [15][16]