陈天桥详解“大脑之镜” 首发世界级开源长期记忆系统

Core Viewpoint - The EverMind team, founded by Chen Tianqiao, has launched EverMemOS, a world-class open-source long-term memory system for AI agents, aiming to establish a data infrastructure for future intelligent systems [3][4]. Group 1: Long-term Memory in AI - Long-term memory is seen as a strategic feature for AI applications, with Chen Tianqiao asserting that memory will be a core competitive advantage for AI, transitioning from tools to intelligent agents [3][4]. - The design of EverMemOS is inspired by human memory mechanisms, allowing AI to think, remember, and grow like humans [3][5]. Group 2: Discovering Intelligence - Chen Tianqiao emphasizes the concept of "discovery intelligence," which includes five core capabilities, with long-term memory being a crucial aspect [4][5]. - He argues that true discovery involves asking questions and understanding principles rather than merely predicting outcomes [4][5]. Group 3: Paths to Discovery Intelligence - Two paths to achieving discovery intelligence are proposed: the "scale path," which focuses on large models and data, and the "structure path," which emphasizes dynamic and continuous understanding akin to cognitive anatomy [5][6]. - The limitations of the scale path are acknowledged, with a call for new theories and interdisciplinary approaches to advance AI understanding [5][6]. Group 4: Investment in Research - The Tianqiao Brain Science Research Institute plans to invest over $1 billion in dedicated computing clusters to support young scientists in exploring memory mechanisms and new causal architectures [6][7]. - An incubator has been established to provide independent research opportunities for young scientists, allowing them to lead their own projects without waiting for graduation [7].