"What is meant often goes far beyond what is said, and that is what makes conversation possible." ——H. P. Grice 引言：从「语义理解」到「心智共情」的跨越 在人类日常交流中，话语的含义往往超越字面本身。举个例子，当有人说出 "这里好冷啊" 的时候，真正的用意可能远不止是在描述温度 —— 这句话可能是一种委 婉的请求（希望对方关窗），也可能是在表达不适、寻求关心。再比如，当人类说出 "我最近总是失眠" 时，背后的潜台词可能是工作压力、情感困扰，或是生理 疾病 —— 人类社交之所以能领会言外之意，是通过碎片信息，比如社交语境、先验常识和预设反馈推测他人未明说的意图、情绪和信念等心理状态，一种被称为 心智理论（Theory of Mind, ToM）的能力，也是社交智能的核心。发展心理学研究表明，儿童大约在 4 岁左右就开始具备这种对他人心态的推理能力。这种 "读心 术" 式的社交智力让人类对语言的理解超越字面，做到 "听言外之意，观其心中之思"。 让机器拥有类似的人类社交智力一直是人工智能领域的一项巨大挑 ...

Group 1 - The core focus of the article revolves around the recent developments in the American AI sector, particularly the restructuring of Meta's AI team and the competitive landscape with Chinese open-source models [1][2][3] - Meta's AI team has undergone significant changes, with a large number of new hires and the departure of older staff, indicating a shift in strategy to improve performance in AI model development [2][3][4] - The article highlights the increasing prominence of Chinese teams in the open-source AI model space, suggesting that Meta's Llama series has fallen behind compared to its Chinese counterparts [2][3][4] Group 2 - The restructuring at Meta is seen as a necessary move to maintain competitiveness, especially as the company has ample resources but has not delivered satisfactory results in recent AI projects [3][7] - The article discusses the high proportion of Chinese talent within Meta's AI team, with at least half of the core members being of Chinese descent, reflecting the significant role of Chinese professionals in the American AI industry [4][10] - The article critiques the leadership of Alexander Wang from Scale AI, questioning the appropriateness of his background in data labeling for overseeing AI model development, which has raised concerns within the industry [8][9][10] Group 3 - The shift in focus from AGI (Artificial General Intelligence) to SSI (Superintelligence) in the AI discourse is noted, with both terms being described as vague and lacking clear definitions [22][24] - The article argues that the promises associated with AGI and SSI create unrealistic expectations for investment returns, complicating the financial viability of AI projects [24][25] - The emergence of Chinese open-source models, such as those from DeepSeek, is seen as a challenge to the traditional closed-source models from American companies, potentially destabilizing the market dynamics [25][30][31]