[ SYSTEM.LEVEL_00 / ORIGIN DOSSIER ]

起源 · 从 GIS 到 AIOrigin · From GIS to AI

起点不是“转行”，而是很早就被训练成跨界的人：地理与信息系统之间，野外观察与代码实现之间，抬头看星空与低头写系统之间。这条线，后来变成理解 Embedding、向量空间、多维数据和具身智能的底层直觉。 This did not start as a career switch. The training was cross-domain from early on: between geography and information systems, field observation and code, looking up at the sky and down at a system. That line later became the intuition behind embeddings, vector space, multidimensional data, and embodied intelligence.

#01

银川中考状元Top scorer, Yinchuan

早期学习能力的硬证据：不是只会努力，而是能在复杂目标下快速建立方法。Early proof of learning: not just effort, but building a method under a hard target.

学习能力Learning方法论Method

#02

天文小组Astronomy club

高中开始把目光投向更远的系统：流星雨、星云、尺度感与长期想象力。In high school the view moved to larger systems: meteor showers, nebulae, scale, and a long imagination.

长期想象力Long horizon尺度感Sense of scale

#03

浙江大学 GIS 本硕Zhejiang University, BS & MS in GIS

GIS 本身就是跨界：地理、空间数据、拓扑算法、C/C++ 与系统工程。GIS is already cross-domain: geography, spatial data, topology, C/C++, and systems engineering.

GIS空间数据Spatial data系统工程Systems

#04

考研成绩第一No.1 on the graduate exam

从兴趣到硬结果：用可验证的成绩证明学习能力、专注力和自我驱动。From interest to a hard result: a verifiable score for learning, focus, and self-drive.

自我驱动Self-driven专注力Focus

GIS

MORNING FIELDWORK

上午在校园里辨认植物Mornings, naming plants on campus

景观生态学田野实习，不只是看风景，而是采样、定位、记录，把真实世界拆成可描述的数据。Landscape-ecology fieldwork. Not scenery: sampling, locating, recording — turning the real world into data you can describe.

大叶黄杨、香樟、银杏，后来都变成“从现场到结构化信息”的第一课。Euonymus, camphor, ginkgo: the first lesson in going from a site to structured information.

田野观察Field observation采样记录Sampling结构化信息Structured data

</>

AFTERNOON CODING

下午在机房写空间算法Afternoons, spatial algorithms in the lab

C、C++、空间数据结构、拓扑关系。GIS 训练让我天然理解：世界不是一维列表，而是多层关系网络。C, C++, spatial data structures, topology. GIS made this obvious: the world is not a flat list. It is a stack of relations.

这也是后来理解向量空间和知识图谱的底层直觉。The same intuition later sits under vector space and knowledge graphs.

C/C++拓扑关系Topology向量空间Vector space

★

NIGHT ASTRONOMY

晚上把尺度拉到星空Nights, pulling the scale out to the sky

广播部训练表达，天文小组训练尺度感。一个人能走多远，常常取决于她最早愿意看多远。Campus radio trained expression. The astronomy club trained scale. How far a person goes often depends on how far she was willing to look, early.

对 AGI 的兴趣，不是短期热点，而是长期相信智能会改变文明尺度。The interest in AGI is not a news cycle. It is a long bet that intelligence changes the scale of a civilization.

天文小组Astronomy表达能力Expression文明尺度Civilizational scale

这是 Level 0 的意义：不是把经历拆成简历字段，而是一条从空间信息、系统工程、长期好奇心延伸到 AI 的连续路径。 Level 0 is not a résumé broken into fields. It is one continuous path from spatial information, systems engineering, and long curiosity into AI.

教育背景Education 独立思考Independent thinking 跨界底层Cross-domain base 长期好奇心Long curiosity