Core Viewpoint - Chen Tianqiao, founder of Shanda Group and Tianqiao Brain Science Research Institute, aims to validate his concept of the AI Native era through a deep log series documenting the core processes of his AI Native company, Tanka [1] Group 1: AI Native Company Tanka - Tanka is designed to be a communication platform that integrates AI long-term memory capabilities, utilizing self-developed MemGraph technology to remember and learn from past conversations, providing real-time situational insights and proactive follow-up features [1] - Chen Tianqiao emphasizes the importance of transparency by committing to publicly share the underlying logic, operational blueprint, and critical debates that determine the project's success or failure [2] Group 2: Human and AI Relationship - Chen argues that the essence of AI is computation, while the essence of humanity is game theory, stating that AI operates as a worker with fixed costs, whereas humans are stakeholders who reap the residual value [2] - He posits that human choice and responsibility are the last defenses against AI, suggesting that only when humans bear the cost does it create "credit" that AI cannot replicate [3] Group 3: The Rise of Super Individuals - The concept of "super individuals" is introduced, where Chen clarifies that being a "jack of all trades" is unrealistic for carbon-based life forms, even for someone like Elon Musk, who aggregates the best external minds to serve him [3] - Chen defines super individuals as those who make ambitious choices and bear the costs of failure, highlighting the leverage between human responsibility and AI execution [3] Group 4: Minimum Viable Responsibility Framework - Chen proposes a three-tiered path to establish "minimum viable responsibility": 1. The first level involves creating a "human-AI firewall," where humans act as gatekeepers, verifying AI outputs with their signatures, representing their credit [4] 2. The second level focuses on probability prediction, where humans, after serving as gatekeepers, also act as forecasters, attaching their confidence levels to AI-generated proposals [4] 3. The third level encourages embracing chaos, where humans seek to address gaps in data and tackle complex human interactions that AI struggles with [4] - Chen asserts that organizations will evolve into "responsibility containers," existing as legal and capital entities to bear the physical costs and infinite responsibilities that individuals cannot shoulder alone [4]

在AI作为"超级工具"的时代，人类的价值在于主动选择和担责。人类恰恰是通过自身的"碳基缺陷"，构筑了不可替代的防线。 在最新撰文中，陈天桥提出的一个核心观点是在AI作为"超级工具"的时代，人类的价值在于主动选择和担责。他认为，尽管AI在执行层面能力强大，但它没 有"肉身"、无法承担最终的结果，也无法进行"非理性的创造"。因此，人类恰恰是通过自身的"碳基缺陷"，构筑了不可替代的防线。 "AI的本质是计算，人类的本质是博弈。"陈天桥指出，"选择和承担正是人类最后的防线。"他认为，只有人类作出选择并为结果负责的前提下，AI的运算才 能从"数据处理"真正转化为"商业价值"，他将人类担责的行为称为"确权"。 他还提到马斯克的成功，并称此为"超级个体的崛起"。"马斯克只做两件事：极具野心的选择，指明那个看似不可能的方向；以及赌上一切的担责，承担所 有失败的代价。"陈天桥称，"这就是超级个体的定义。人类现在唯一需要比拼的，就是谁的支点（责任）更稳，谁的施力（选择）更准。" 基于这些观点，陈天桥进一步提出构建"最小可行性责任"的三级路径：建立"人机防火墙"；学会预测成功的概率；拥抱"混乱"，寻找数据缺失的角落，解 决"人心博 ...