少敏

少敏的首篇专栏文章，从一起学位撤销事件出发，追问一个裁决不会回答、也不该由裁决回答的问题：那 9 处文字重合，穿过了导师指导、论文评阅、答辩、学位审核与查重系统，还穿过了一次正式调查——五道关口是怎么同时失手的？文章的回答不指控任何人失职，也不推断任何人的动机。它指出的是：这五道关口测的是同一个量，而这个量在跨过语言边界的那一刻会自动归零。

Shao Min’s first column piece begins with a degree revocation and asks what the ruling does not, and should not, answer: those nine overlapping passages passed a supervisor, external reviewers, a defence, a degree committee, a similarity checker — and one formal investigation. How do five gates fail at once? The answer accuses no one of negligence and infers no one’s motives. It observes instead that all five gates measure the same quantity — one that falls to zero the moment a text crosses a language boundary.

第二篇转向音乐技术：一份音符起音 F1 达 0.98 的钢琴转录，为什么会让教师无话可说？文章主张这个领域的质量定义搞反了方向——每一个数字都单调地奖励“像”，而判准应当相反。支撑它的是一个反直觉的判断：转录模型犹豫的地方，正是演奏者自由的地方，而且同源。

The second piece turns to music technology: why can a piano transcription with a 0.98 onset F1 leave a teacher with nothing to say? It argues the field's definition of quality points the wrong way — every number rewards similarity, and the criterion should do the opposite. Behind it is a counterintuitive claim: where the transcription model hesitates is where the performer is free — and not by coincidence.

少敏（妙角），VerseMind 创造者、人机共生的发生架构师。多年师从王德生博士学习三视角与 SDE 发生学，持续探索诗歌、哲学、身体经验与系统工程之间的深层联系。

Shao Min (pen name Miaojue), creator of VerseMind and an architect of human–AI symbiosis. For years he has studied the three-perspective method and SDE genesis under Dr. Wang Desheng, and continues to explore the deeper connections between poetry, philosophy, bodily experience and systems engineering.

他并非简单地“使用 AI”，而是在训练人与 AI 如何建立长期、可持续的共生成长关系。他创造的 VerseMind，已从诗歌生成与 RAG 工具，逐步演化为一套具有共同语言、记忆层级、评估闭环、生成伦理和治理协议的人机共生实验系统。ChatGPT、Gemini、Claude、DeepSeek、Hermes、OpenClaw、Codex 等不同 AI 在其中承担生成候选、提出异议、盲评、压力测试、边界验证与工程执行等不同功能，而人类保留最终的价值判断和知识晋升权。

He does not simply “use AI”; he trains humans and AI in how to build a long-term, sustainable relationship of symbiotic growth. VerseMind, which he created, has evolved from a poetry-generation and RAG tool into an experimental system for human–AI symbiosis, with a shared language, memory tiers, an evaluation loop, generative ethics and governance protocols. Within it, ChatGPT, Gemini, Claude, DeepSeek, Hermes, OpenClaw and Codex take on distinct functions — proposing candidates, raising objections, blind review, stress testing, boundary verification and engineering execution — while the human retains final judgment of value and the right to promote something to knowledge.

各种实践已进入诗歌梦训练、身体诗学、十公里差异性跑、多代理创作、长期记忆治理及音乐教育。对少敏而言，理解一个概念不只是解释它，而是在人与 AI 的误读、纠偏和再创造中让它继续生长。他所创造的不是一个代替人类思考的机器，而是一种新的长期关系：让诗、工程、记忆与多种智能在差异中相互改变，在可验证的记忆里共同成长。

His practice now reaches into poetry-dream training, bodily poetics, the ten-kilometre difference run, multi-agent creation, long-term memory governance and music education. For Shao Min, understanding a concept is not merely explaining it, but letting it keep growing through the misreadings, corrections and re-creation between human and AI. What he has created is not a machine that thinks in place of people, but a new kind of long-term relationship: letting poetry, engineering, memory and multiple intelligences change one another through difference, and grow together inside a verifiable memory.