随着人工智能技术迈入"深水区"，盛大集团、天桥脑科学研究院创始人陈天桥在2026年春节前夕，首次 向旗下MiroMind全体员工发出一封题为《我如何和AGI公司一起成长》的内部信。在信中，陈天桥系统 性阐述了MiroMind在技术路线、组织进化等方面的最新思考，明确将避开通用的"聊天机器人"赛道， 转而聚焦"发现式智能""通用求解器"，并非参与同质化的通用聊天大模型竞争。 面对外部融资环境的波动，陈天桥在信中给出坚实的承诺。他将盛大的投入定义为"耐心资本"——没有 短期的季报压力，也不寻求急功近利的退出。盛大将永远作为MiroMind的"保底投资人"。虽然公司欢 迎认同长期价值的第三方资本加入，但盛大的兜底机制确保MiroMind的战略定力，不会因短期资金问 题而动作变形。 此外，他还公布一项极具诚意的人才激励政策：在未来融资中，将预留资金用于回购员工股票，为长期 奋斗者提供常态化的"流动性窗口"。"我们不想只做一个赚钱的工具公司。"陈天桥在信中重申创立 MiroMind的初心，希望在这场AI变革中为时代留下真正有价值的"新东西"。他还向内部员工及外部人 才发出邀请，欢迎那些在乎长期价值、愿意思考"为这个时代 ...

Core Insights - The article discusses the AI Accelerated Science Symposium held in San Francisco, where the concept of "Discoverative Intelligence" was introduced as a new paradigm for general artificial intelligence [1][3][4] - The speaker, Chen Tianqiao, emphasizes that AI should not merely replace human jobs but should aid in human evolution by helping discover the unknown [5][10] Group 1: Human Evolution and AI - Human evolution has not stopped; instead, it has transformed through scientific discoveries and technological inventions, extending human capabilities beyond biological limits [3][4] - The concept of "Discoverative Intelligence" is presented as a true form of general artificial intelligence, which can actively construct testable theoretical models and propose falsifiable hypotheses [5][10] Group 2: Paths to Discoverative Intelligence - Two main paths to achieving "Discoverative Intelligence" are identified: the "Scale Path," which relies on large models and data, and the "Structure Path," which focuses on cognitive mechanisms akin to human brain functions [6][12] - The "Scale Path" has achieved significant results in AI applications, while the "Structure Path" is emerging as a necessary approach to overcome the limitations of current AI systems [13][14] Group 3: Time Structure and Core Capabilities - The article outlines five core capabilities essential for managing information over time, which are necessary for achieving "time structure" in AI: neural dynamics, long-term memory, causal reasoning, world modeling, and metacognition [8][9][12] - These capabilities form a continuous and active loop, enabling a system to evolve over time and engage in scientific discovery [12] Group 4: Opportunities for Young Researchers - The article highlights the need for new theories, algorithms, and interdisciplinary approaches, positioning young researchers as key players in redefining intelligence through the "Structure Path" [13][14] - The company is investing over $1 billion in dedicated computing clusters to support young scientists in exploring new structures and validating cognitive mechanisms [16]