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从0到1和从1到100從0到1和從1到100From 0 to 1 and From 1 to 100
因为做孵化，我见过不少项目从一个想法开始跑起来的全过程。-1到0、0到1、1到100——这三段路需要的人也完全不一样。因為做孵化，我見過不少項目從一個想法開始跑起來的全過程。-1到0、0到1、1到100——這三段路需要的人也完全不一樣。Having done incubation, I've watched many projects go from an idea to reality. -1 to 0, 0 to 1, 1 to 100 — each leg requires completely different people.
因为做孵化，我见过不少项目从一个想法开始跑起来的全过程。-1到0、0到1、1到100——这三段路需要的人也完全不一样。
最近看到一篇推文，大意是说中国创业者在从1到100这件事上是世界级水平，但0到1不行。感觉挺有意思的，大概有一半是对的（？）
中国创业者在执行层面确实很猛。供应链整合、用户增长、本土化运营、价格战——这套打法到了一定规模之后是碾压式的。拼多多、字节、DJI，把一个跑通的模型做到极致，这件事中国团队真的做得很好。
但"0到1不行"这个判断我不太认同，或者说，它混淆了两件事：不擅长从0到1，和没有动力从0到1。
我在孵化里见到的很多学生 founder，不是想不出东西，是根本不知道自己想出来的东西算不算数。一个 vibe coding 出来的小工具、一个实验室里的技术成果、一个在宿舍聊出来的方向——他们不确定这个东西是不是一个"创业项目"，所以大多数时候就停在那里了。
这不是0到1的能力问题，是从-1到0的路被堵住了。
中国创业者可能不擅长0到1，更可能是过去没有一个足够便宜的环境去练-1到0。
从-1到0是什么？是一个人从"我有个想法"走到"我在做一件事"的那段路。这段路需要的不是钱，不是技术，是认知——你得知道你的想法在市场里是什么坐标，你得见过真实的创业者，你得知道去哪里找第一个用户。
我做 NEIC 和 Emerge 的核心动因就是这个。不是去怂恿学生all in创业，而是去把这段路上的信息差填一填。让更多人能够抵达"0"，然后再谈从0到1。
说回那篇推文的核心判断——中国人更擅长1到100，这个我同意，但我不觉得这是缺陷。
从0到1需要的是非共识的判断力，从1到100需要的是极致的执行力。这两种能力在同一个人身上很难并存，在同一套文化基因里更难并存。硅谷在0到1上跑得快，是因为它有一整套容错机制——失败不丢脸、VC愿意押非共识、大公司不会马上抄你。
中国目前的创业生态在0到1上还没有那套容错机制，这是人的问题，也是系统的问题。
"产学研"、"成果转化"、"小天才学生创业"、"老司机大厂跳出来创业"…每条路径上的创业者都有其特性，而好的生态应该是能和具体一类创业者的调性精准匹配的。高校学生在学校拿到第一笔钱的难度、破坏式创新成果自下而上产生的难度太大了……换句话说，比如可以让可能缺少社会经验的小天才被"孵化"；比如可以让顶尖的科技成果被真正"应用"……我们离目标太远。
AI这一波可能有点不一样，我看到了许多小天才or草根创业者。有00后但连续创业者，有05后创业第一天就有全球化视野，有疯狂的超早期idea拿到钱，也有更多的年轻人在最优秀的地方跑出自己的alpha。
作为创投生态建设者，我在推进一些年轻的事；
作为这个领域的观察者，我们也想让子弹多飞会儿。因為做孵化，我見過不少項目從一個想法開始跑起來的全過程。-1到0、0到1、1到100——這三段路需要的人也完全不一樣。
最近看到一篇推文，大意是說中國創業者在從1到100這件事上是世界級水平，但0到1不行。感覺挺有意思的，大概有一半是對的（？）
中國創業者在執行層面確實很猛。供應鏈整合、用戶增長、本土化運營、價格戰——這套打法到了一定規模之後是碾壓式的。拼多多、字節、DJI，把一個跑通的模型做到極致，這件事中國團隊真的做得很好。
但「0到1不行」這個判斷我不太認同，或者說，它混淆了兩件事：不擅長從0到1，和沒有動力從0到1。
我在孵化裡見到的很多學生 founder，不是想不出東西，是根本不知道自己想出來的東西算不算數。一個 vibe coding 出來的小工具、一個實驗室裡的技術成果、一個在宿舍聊出來的方向——他們不確定這個東西是不是一個「創業項目」，所以大多數時候就停在那裡了。
這不是0到1的能力問題，是從-1到0的路被堵住了。
中國創業者可能不擅長0到1，更可能是過去沒有一個足夠便宜的環境去練-1到0。
從-1到0是什麼？是一個人從「我有個想法」走到「我在做一件事」的那段路。這段路需要的不是錢，不是技術，是認知——你得知道你的想法在市場裡是什麼坐標，你得見過真實的創業者，你得知道去哪裡找第一個用戶。
我做 NEIC 和 Emerge 的核心動因就是這個。不是去慫恿學生 all in 創業，而是去把這段路上的信息差填一填。讓更多人能夠抵達「0」，然後再談從0到1。
說回那篇推文的核心判斷——中國人更擅長1到100，這個我同意，但我不覺得這是缺陷。
從0到1需要的是非共識的判斷力，從1到100需要的是極致的執行力。這兩種能力在同一個人身上很難並存，在同一套文化基因裡更難並存。硅谷在0到1上跑得快，是因為它有一整套容錯機制——失敗不丟臉、VC願意押非共識、大公司不會馬上抄你。
中國目前的創業生態在0到1上還沒有那套容錯機制，這是人的問題，也是系統的問題。
「產學研」、「成果轉化」、「小天才學生創業」、「老司機大廠跳出來創業」……每條路徑上的創業者都有其特性，而好的生態應該是能和具體一類創業者的調性精準匹配的。高校學生在學校拿到第一筆錢的難度、破壞式創新成果自下而上產生的難度太大了……換句話說，比如可以讓可能缺少社會經驗的小天才被「孵化」；比如可以讓頂尖的科技成果被真正「應用」……我們離目標太遠。
AI 這一波可能有點不一樣，我看到了許多小天才 or 草根創業者。有00後但連續創業者，有05後創業第一天就有全球化視野，有瘋狂的超早期 idea 拿到錢，也有更多的年輕人在最優秀的地方跑出自己的 alpha。
作為創投生態建設者，我在推進一些年輕的事；
作為這個領域的觀察者，我們也想讓子彈多飛會兒。Because I run incubation programs, I've watched tons of projects go from a raw idea to an actual thing. -1 to 0, 0 to 1, 1 to 100 — these three stages require completely different kinds of people.
I recently saw a tweet arguing that Chinese entrepreneurs are world-class at going from 1 to 100, but can't do 0 to 1. Kind of interesting — I'd say it's maybe half right (?).
Chinese founders are genuinely fierce at execution. Supply chain integration, user growth, localized operations, price wars — once this playbook hits a certain scale, it's a steamroller. Pinduoduo, ByteDance, DJI — taking a proven model and pushing it to the absolute limit is something Chinese teams do incredibly well.
But I don't really agree with the "can't do 0 to 1" take — or rather, it conflates two different things: not being good at 0 to 1, and not having the motivation to do 0 to 1.
A lot of student founders I've met through incubation aren't lacking ideas — they just have no idea whether what they came up with actually counts. A little tool they vibe coded, a piece of lab tech, a direction they brainstormed in a dorm room — they're not sure if it qualifies as a "startup," so most of the time they just... stop there.
This isn't a 0-to-1 capability problem. It's that the road from -1 to 0 is blocked.
Chinese entrepreneurs might not be great at 0 to 1, but more likely, there just hasn't been a cheap enough environment to practice -1 to 0.
What even is -1 to 0? It's that stretch where someone goes from "I have an idea" to "I'm working on something." That stretch doesn't require money or technology — it requires awareness. You need to know where your idea sits in the market, you need to have met real founders, you need to know where to find your first user.
This is exactly why I started NEIC and Emerge. Not to hype students into going all-in on startups, but to close the information gap on that stretch of the road. Help more people get to "0" first, then we can talk about 0 to 1.
Back to the tweet's core thesis — Chinese people are better at 1 to 100. I agree, but I don't think that's a flaw.
0 to 1 demands contrarian judgment. 1 to 100 demands extreme execution. These two capabilities rarely coexist in the same person, and they're even harder to find in the same cultural DNA. Silicon Valley moves fast on 0 to 1 because it has a whole fault-tolerance system — failure isn't shameful, VCs are willing to bet on contrarian ideas, and big companies won't immediately copy you.
China's startup ecosystem doesn't yet have that fault-tolerance system for 0 to 1. That's both a people problem and a systemic problem.
"Industry-academia collaboration," "technology transfer," "genius student founders," "veteran operators leaving big tech to start up"... every pathway has founders with distinct characteristics, and a good ecosystem should be precisely tailored to each type. It's just way too hard for college students to get their first check at school, way too hard for disruptive innovations to emerge bottom-up... In other words, we should be able to incubate young geniuses who might lack real-world experience; we should be able to actually commercialize cutting-edge research... We're still so far from that.
This AI wave might be a bit different though. I'm seeing a lot of young geniuses and grassroots founders. There are Gen Z serial entrepreneurs, Gen Alpha founders with a global vision from day one, crazy early-stage ideas getting funded, and more young people carving out their own alpha at the most elite levels.
As someone building startup ecosystem infrastructure, I'm pushing some young and unconventional things forward;
As an observer of this space, we also want to let things play out a bit longer before passing judgment.
AI时代·文科生别把自己当成文科生AI時代·文科生別把自己當成文科生AI Era: Liberal Arts Students, Stop Thinking of Yourselves as "Liberal Arts"
要主动去到 AI 工具能够放大你判断力的地方，而不是站在原地等"0基础入门指南"告诉你你也行。别把自己当文科生，当一个在 AI 时代还能判断什么是对的人就够了。要主動去到 AI 工具能夠放大你判斷力的地方，而不是站在原地等「0基礎入門指南」告訴你你也行。別把自己當文科生，當一個在 AI 時代還能判斷什麼是對的人就夠了。Proactively go where AI tools can amplify your judgment, instead of waiting for a "zero-base beginner's guide" to tell you that you can do it too. Stop thinking of yourself as a liberal arts student — just be someone who can still judge what's right in the AI era.
互联网上有一种叙事，似乎是文科生专门写给文科生看的：
"文科生也可以0基础学 AI""不懂代码也能用 AI 做 XX""理科思维不是必须的"……
这类内容的出发点或许是好的，但它的底层逻辑有大问题。
它在说"你也可以"的同时，默认了一件事：技术才是标准，你是在努力够到那个标准。文科生是一个需要被安慰的群体，需要被告知"其实你也行"。这是在技术至上的叙事框架里的自我矮化，只是矮化得比较温柔。
我从来没觉得"文科"是一个需要被克服的背景。真正的问题不是"文科生能不能用 AI"，而是AI 出现之后，文科生手里的东西到底价值几何。
AI 在压缩的是标准化的认知劳动——整理信息、写格式化文案、做数据报告。这些工作的门槛被大幅拉低，但同时意味着单纯执行这些工作的价值也在缩水。
所以 AI 时代对文科生的挑战，不是"你要不要学写代码"，是你愿不愿意放弃用"我是文科生"来解释自己为什么不做某件事。不懂代码不是问题。但如果你用"我是文科生"当护盾，你实际上在做的事是：在一个能力边界快速重构的时代里，主动给自己画了一个旧时代的笼子。
我喜欢的的几个 AI 产品，核心的洞察不来自技术，而是来自对人的理解。什么样的交互会让人觉得被冒犯，什么样的叙事会让人愿意付钱，什么样的产品设计会让人每天打开……
Claude是我最喜欢的模型。或许你觉得Anthropic请一堆哲学家写"AI宪法"是公关的艺术，但作为非常sensitive的用户，我真的可以感觉到Claude对我一些不那么工程的东西的的理解是要超过Gemini和GPT的。
再扯点别的：文理分科或许是二战、二工之后顺应社会生产的最佳实践，是实现工具理性的最有效分工形式。而我们在AI时代，我们讲年轻的叙事，工具理性的膨胀是否能匹配在AI时代的叙事或许也有待考量……
要主动去到 AI 工具能够放大你判断力的地方，而不是站在原地等"0基础入门指南"告诉你你也行。别把自己当文科生，当一个在 AI 时代还能判断什么是对的人就够了。互聯網上有一種敘事，似乎是文科生專門寫給文科生看的：
「文科生也可以0基礎學 AI」「不懂代碼也能用 AI 做 XX」「理科思維不是必須的」……
這類內容的出發點或許是好的，但它的底層邏輯有大問題。
它在說「你也可以」的同時，默認了一件事：技術才是標準，你是在努力夠到那個標準。文科生是一個需要被安慰的群體，需要被告知「其實你也行」。這是在技術至上的敘事框架裡的自我矮化，只是矮化得比較溫柔。
我從來沒覺得「文科」是一個需要被克服的背景。真正的問題不是「文科生能不能用 AI」，而是 AI 出現之後，文科生手裡的東西到底價值幾何。
AI 在壓縮的是標準化的認知勞動——整理信息、寫格式化文案、做數據報告。這些工作的門檻被大幅拉低，但同時意味著單純執行這些工作的價值也在縮水。
所以 AI 時代對文科生的挑戰，不是「你要不要學寫代碼」，是你願不願意放棄用「我是文科生」來解釋自己為什麼不做某件事。不懂代碼不是問題。但如果你用「我是文科生」當護盾，你實際上在做的事是：在一個能力邊界快速重構的時代裡，主動給自己畫了一個舊時代的籠子。
我喜歡的幾個 AI 產品，核心的洞察不來自技術，而是來自對人的理解。什麼樣的交互會讓人覺得被冒犯，什麼樣的敘事會讓人願意付錢，什麼樣的產品設計會讓人每天打開……
Claude 是我最喜歡的模型。或許你覺得 Anthropic 請一堆哲學家寫「AI 憲法」是公關的藝術，但作為非常 sensitive 的用戶，我真的可以感覺到 Claude 對我一些不那麼工程的東西的理解是要超過 Gemini 和 GPT 的。
再扯點別的：文理分科或許是二戰、二工之後順應社會生產的最佳實踐，是實現工具理性的最有效分工形式。而我們在 AI 時代，我們講年輕的敘事，工具理性的膨脹是否能匹配在 AI 時代的敘事或許也有待考量……
要主動去到 AI 工具能夠放大你判斷力的地方，而不是站在原地等「0基礎入門指南」告訴你你也行。別把自己當文科生，當一個在 AI 時代還能判斷什麼是對的人就夠了。There's a narrative floating around the internet that seems to be written by liberal arts students, for liberal arts students:
"Liberal arts students can learn AI from zero too!" "You can use AI for XX even without coding!" "STEM thinking isn't a prerequisite!"...
The intention behind this kind of content might be good, but the underlying logic is deeply flawed.
While saying "you can do it too," it implicitly accepts one thing: technology is the standard, and you're just trying to reach it. Liberal arts students are a group that needs to be comforted, needs to be told "actually, you can do it too." This is self-diminishment within a tech-supremacist narrative framework — just a gentler version of it.
I've never once thought of "liberal arts" as a background that needs to be overcome. The real question isn't "can liberal arts students use AI" — it's what the stuff in liberal arts students' hands is actually worth after AI showed up.
What AI is compressing is standardized cognitive labor — organizing information, writing templated copy, producing data reports. The barrier to these tasks has been massively lowered, which also means the value of simply executing them is shrinking.
So the challenge AI poses to liberal arts students isn't "should you learn to code or not." It's whether you're willing to stop using "I'm a liberal arts student" to explain why you don't do certain things. Not knowing code isn't a problem. But if you use "I'm a liberal arts student" as a shield, what you're actually doing is: in an era where capability boundaries are being rapidly restructured, voluntarily drawing yourself a cage from a bygone era.
Some of my favorite AI products — their core insights don't come from technology, but from understanding people. What kind of interaction makes someone feel offended, what kind of narrative makes someone willing to pay, what kind of product design makes someone open it every day...
Claude is my favorite model. Maybe you think Anthropic hiring a bunch of philosophers to write an "AI constitution" is just PR artistry, but as a very sensitive user, I can genuinely feel that Claude's understanding of my less-engineering-oriented thoughts surpasses Gemini and GPT.
One more tangent: the liberal arts vs. sciences split was probably the best practice for social production after WWII and the Second Industrial Revolution — the most efficient division of labor for achieving instrumental rationality. But now we're in the AI era, we're talking about a young narrative, and whether the expansion of instrumental rationality can match the narrative of the AI era is perhaps still up for debate...
Proactively go where AI tools can amplify your judgment, instead of waiting around for a "zero-base beginner's guide" to tell you that you can do it too. Stop thinking of yourself as a liberal arts student — just be someone who can still judge what's right in the AI era. That's enough.
承办宁波第一场市级黑客松之后，我们又该如何发生？承辦寧波第一場市級黑客松之後，我們又該如何發生？After Hosting Ningbo's First City-Level Hackathon — What's Next?
Emerge·甬现是扎根宁波、由高校青年发起的科创落地社群，汇聚宁波诺丁汉大学、宁波大学、浙江万里学院、宁波工程学院、浙大宁波理工大学学子，聚焦AI等前沿科技，打造城市特色创新创业生态的年轻社群。Emerge·甬現是扎根寧波、由高校青年發起的科創落地社群，匯聚寧波諾丁漢大學、寧波大學、浙江萬里學院、寧波工程學院、浙大寧波理工大學學子，聚焦AI等前沿科技，打造城市特色創新創業生態的年輕社群。Emerge·Yongxian is a Ningbo-rooted sci-tech community initiated by university youth, uniting students from UNNC, Ningbo University, and more — focused on AI and frontier tech, building a youthful innovation ecosystem with local character.
承办宁波第一场市级黑客松之后，我们又该如何发生？承辦寧波第一場市級黑客松之後，我們又該如何發生？After Hosting Ningbo's First City-Level Hackathon — What Comes Next? 前言前言Preface 4月25-26日，我们承办了一场百人黑客松——抖音AI创变者计划2026黑客松联赛·宁波站，这是宁波市第一场市级黑客松。我们用两天时间聚集了百名选手、数百名观众。抖音AI创变者计划总负责人亲自给大家开seminar，我们还请到了浙大系Delta X迭代未来孵化器、浙大x-lab的两位co-founder讲创新创业生态；请到了3位清华校友——AA加速器创始人、启迪之星（杭州）负责人、杭州智舟一跃创始人开OPC论坛……4月25-26日，我們承辦了一場百人黑客松——抖音AI創變者計劃2026黑客松聯賽·寧波站，這是寧波市第一場市級黑客松。我們用兩天時間聚集了百名選手、數百名觀眾。抖音AI創變者計劃總負責人親自給大家開seminar，我們還請到了浙大系Delta X迭代未來孵化器、浙大x-lab的兩位co-founder講創新創業生態；請到了3位清華校友——AA加速器創始人、啟迪之星（杭州）負責人、杭州智舟一躍創始人開OPC論壇……On April 25-26, we hosted a hundred-person hackathon — the Douyin AI Changemaker Program 2026 Hackathon League, Ningbo Station. This was Ningbo's very first city-level hackathon. Over two days we gathered a hundred contestants and several hundred spectators. The head of the Douyin AI Changemaker Program personally came to run a seminar. We also invited the two co-founders of ZJU's Delta X Iterative Future Incubator and ZJU x-lab to talk about the innovation and startup ecosystem, and brought in three Tsinghua alumni — the founder of AA Accelerator, the head of TusStar (Hangzhou), and the founder of Hangzhou Zhizhou Yiyue — to hold an OPC forum... 我们看到了不少亮点：我們看到了不少亮點：We saw quite a few highlights: 比如一位专升本同学可以做出有趣、优秀乃至伟大的作品；比如一位專升本同學可以做出有趣、優秀乃至偉大的作品；For example, a student who transferred from a vocational college could build something fun, excellent, even great; 比如一个队伍4名选手可能来自4个不同国家；比如一個隊伍4名選手可能來自4個不同國家；For example, a single team of 4 might come from 4 different countries; 比如工作人员们对黑客松的举办很积极很上心；比如工作人員們對黑客松的舉辦很積極很上心；For example, our staff were super proactive and committed to making the hackathon happen; 比如嘉宾们从北京、上海、杭州赶来，为了支持年轻人、支持创变者；比如嘉賓們從北京、上海、杭州趕來，為了支持年輕人、支持創變者；For example, guests flew in from Beijing, Shanghai, and Hangzhou just to support young people and changemakers; 比如我们很多不同领域不同阶段认识的朋友参与进来；比如我們很多不同領域不同階段認識的朋友參與進來；For example, friends we'd met across different fields and stages of life all showed up to be part of it; 比如大厂、孵化器、老师和高校学生可以聊成一片；比如大廠、孵化器、老師和高校學生可以聊成一片；For example, people from big tech companies, incubators, professors, and college students could all just vibe and talk together; 比如我们真的以学生身份给政产学研商贡献了一个小小的"新"的东西；比如我們真的以學生身份給政產學研商貢獻了一個小小的「新」的東西；For example, we actually contributed something small but genuinely "new" to the government-industry-academia-research-business ecosystem, as students; 比如我们真的在宁波塑造着创新的、求变的氛围。比如我們真的在寧波塑造著創新的、求變的氛圍。For example, we're genuinely shaping an atmosphere of innovation and change-seeking in Ningbo. 但同时也发现了一些值得深思的现象：但同時也發現了一些值得深思的現象：But at the same time, we noticed some phenomena worth reflecting on: 例如：在AI时代，北、上、深、杭的黑客松已经近乎多得要泛滥，科创活动每天在各式各样的社群里饱满，高校学生在新创社区和初创领域普遍活跃。但在低处东部沿海、经济相对发达、充满浙商创新探索精神的宁波，这还是第一次由年轻人主动引过来一场市级AI黑客松。例如：在AI時代，北、上、深、杭的黑客松已經近乎多得要氾濫，科創活動每天在各式各樣的社群裡飽滿，高校學生在新創社區和初創領域普遍活躍。但在低處東部沿海、經濟相對發達、充滿浙商創新探索精神的寧波，這還是第一次由年輕人主動引過來一場市級AI黑客松。In the AI era, hackathons in Beijing, Shanghai, Shenzhen, and Hangzhou are practically overflowing. Startup activities pack community groups every single day. College students are broadly active in startup communities and the early-stage scene. But in Ningbo — sitting right on the eastern coast, relatively economically developed, steeped in the Zhejiang merchant spirit of innovation — this was the very first time young people proactively brought in a city-level AI hackathon. （其中，有太多朋友在这个过程中问我们"什么是黑客松？"）（其中，有太多朋友在這個過程中問我們「什麼是黑客松？」）(And way too many friends asked us during the process: "What even is a hackathon?") 新的涌现新的湧現New Emergence 从大模型、agent、到vibe coding、mcp、rag、skills、harness engineering、AI native、超级个体、opc……AI时代名词的迭代飞快，而兴奋、焦虑、迷茫、fomo等情绪也广泛蔓延。從大模型、agent、到vibe coding、mcp、rag、skills、harness engineering、AI native、超級個體、opc……AI時代名詞的迭代飛快，而興奮、焦慮、迷茫、fomo等情緒也廣泛蔓延。From large language models, agents, to vibe coding, MCP, RAG, skills, harness engineering, AI native, super-individuals, OPC... the buzzwords of the AI era iterate insanely fast, and emotions like excitement, anxiety, confusion, and FOMO are spreading everywhere. 同时，AI初创变多了，年轻创业者变多了，美元募资回暖，高校学生对新领域好奇心上升，AI等新创活动越来越多……同時，AI初創變多了，年輕創業者變多了，美元募資回暖，高校學生對新領域好奇心上升，AI等新創活動越來越多……Meanwhile, AI startups are multiplying, young founders are multiplying, USD fundraising is warming back up, college students are increasingly curious about new fields, and startup events around AI keep growing... 当新的人、新的钱、新的社区、新的孵化、新的生态、新的内容正在涌现的今天，我们又该如何发生？當新的人、新的錢、新的社區、新的孵化、新的生態、新的內容正在湧現的今天，我們又該如何發生？When new people, new money, new communities, new incubators, new ecosystems, and new content are all emerging right now — how should we make ourselves happen? 从高校开始 自下而上的從高校開始 自下而上的Starting from Universities — Bottom-Up 去年夏天（大一升大二的暑假），我在北京海淀中关村做了一段创投生态相关的实习，调研前沿科技相关的人、项目、投资机构、社区以及高校学生群体。之后我就不断地去参加各种社区的创客节、黑客松等活动，也connect 到了很多有意思的人。这算是我第一次接触到这些生态。去年夏天（大一升大二的暑假），我在北京海淀中關村做了一段創投生態相關的實習，調研前沿科技相關的人、項目、投資機構、社區以及高校學生群體。之後我就不斷地去參加各種社區的創客節、黑客松等活動，也connect到了很多有意思的人。這算是我第一次接觸到這些生態。Last summer (between freshman and sophomore year), I did an internship in Beijing's Zhongguancun related to the VC/startup ecosystem, researching the people, projects, investment firms, communities, and college student groups in frontier tech. After that I kept going to all kinds of community maker fairs, hackathons, and similar events, and connected with a ton of interesting people. That was basically my first real exposure to this whole ecosystem. AI 这一波让我看到了很好的生态。但我也同时发现高校学生离产业界实在是太远了，也离市场、离需求、离用户、离场景太远了。AI這一波讓我看到了很好的生態。但我也同時發現高校學生離產業界實在是太遠了，也離市場、離需求、離用戶、離場景太遠了。This AI wave showed me a really vibrant ecosystem. But I also realized that college students are way too far from industry — too far from the market, from real demand, from users, from actual use cases. 这不是谁的错，而是多种因素共同作用的结果這不是誰的錯，而是多種因素共同作用的結果This isn't anyone's fault — it's the result of many factors working together. 我们看到：有创造性潜质的学生却缺乏将想象落地的【创造的工具】我們看到：有創造性潛質的學生卻缺乏將想像落地的【創造的工具】We see: students with creative potential who lack the tools to turn imagination into reality. 我们同时发现：那些己将想象落地，拥有产品能力的同学却链接不到【商业化资源】我們同時發現：那些已將想像落地，擁有產品能力的同學卻鏈接不到【商業化資源】We also find: students who've already built real products but can't connect to commercialization resources. 一堂创业教育课、一个偶然的idea、一份创赛的BP、一个vibe coding出的小玩具、一个在实验室里面的成果……这些对于一个真正可商业化的创业项目来说，可能是1、可能是0、更可能是-1。有些信息、教育、指导、方法论、活动…也许方向是不那么对的，所以好的创意、创新、创造、创业最后的终点可能只停留在实验室里，或者商业计划书上。产生这种现象的原因可能很复杂，很难说是哪个主体、哪种现象导致的。一堂創業教育課、一個偶然的idea、一份創賽的BP、一個vibe coding出的小玩具、一個在實驗室裡面的成果……這些對於一個真正可商業化的創業項目來說，可能是1、可能是0、更可能是-1。有些資訊、教育、指導、方法論、活動…也許方向是不那麼對的，所以好的創意、創新、創造、創業最後的終點可能只停留在實驗室裡，或者商業計劃書上。產生這種現象的原因可能很複雜，很難說是哪個主體、哪種現象導致的。An entrepreneurship class, a random idea, a business plan for a competition, a little toy vibe-coded into existence, a result sitting in a lab... for a truly commercializable startup, these could be a 1, could be a 0, and more likely a -1. Some information, education, guidance, methodologies, and events... maybe they're just not pointing in the right direction. So great ideas, innovations, creations, and ventures end up stuck in the lab or on a business plan document. The reasons behind this are probably complex — hard to pin on any single actor or phenomenon. 但究其方法论，我们真的需要自下而上的学生群体来推动氛围的搭建。但究其方法論，我們真的需要自下而上的學生群體來推動氛圍的搭建。But methodologically speaking, we really need bottom-up student communities to drive the building of this atmosphere. 也就是说：让年轻人去做年轻的事。也就是說：讓年輕人去做年輕的事。In other words: let young people do young things. 所以我在去年10月回到学校之后就创立了NEIC宁诺创投俱乐部，一个在创投与AI领域链接高校学生群体与产业界的社区，是宁波第一个、也是国内比较少有的这种从高校出来的独立民间学生群体。所以我在去年10月回到學校之後就創立了NEIC寧諾創投俱樂部，一個在創投與AI領域鏈接高校學生群體與產業界的社區，是寧波第一個、也是國內比較少有的這種從高校出來的獨立民間學生群體。So when I got back to school last October, I founded NEIC — the UNNC Venture & Innovation Club — a community connecting college students with industry in the VC and AI space. It's Ningbo's first, and one of the rare independent, grassroots student groups of its kind in China to come out of a university. 我们目前有社员 800 人，核心社员 180 人，办了5场活动，积累了30多个合作伙伴。我們目前有社員800人，核心社員180人，辦了5場活動，積累了30多個合作夥伴。We currently have 800 members, 180 core members, have organized 5 events, and built up over 30 partners. 很好的一点是，至少对一部分人来说，我们的社员有时会跟我说我们的社群真实的帮到了他，帮他找到的项目早期的方向、去到哪里实习的方向、应该如何获取哪部分信息的方向、怎么获取好的活动的方向......很好的一點是，至少對一部分人來說，我們的社員有時會跟我說我們的社群真實地幫到了他，幫他找到了項目早期的方向、去到哪裡實習的方向、應該如何獲取哪部分資訊的方向、怎麼獲取好的活動的方向……One really good thing is that, at least for some people, members sometimes tell me our community genuinely helped them — helped them find early direction for their projects, figure out where to intern, learn how to access the right information, how to find good events... 拓荒 从-1到0拓荒 從-1到0Pioneering — From -1 to 0 一个产品从idea到正式向公众launch完成启动，一个创业项目拿到第一笔融资……这是伟大的"从0到1"，但在我们深入到高校的创投生态中却发现，能够正确抵达"0"的学生少之又少，大家似乎同时需要的是如何"从-1到0"。一個產品從idea到正式向公眾launch完成啟動，一個創業項目拿到第一筆融資……這是偉大的「從0到1」，但在我們深入到高校的創投生態中卻發現，能夠正確抵達「0」的學生少之又少，大家似乎同時需要的是如何「從-1到0」。A product going from idea to publicly launched, a startup securing its first round of funding... that's the legendary "0 to 1." But as we dug deeper into the university startup ecosystem, we found that very few students can even properly reach "0." What everyone actually needs is how to go "from -1 to 0." 需要的是学生自下而上汲取信息、资源、人脉的文化；需要的是學生自下而上汲取資訊、資源、人脈的文化；What's needed is a culture where students proactively seek out information, resources, and connections from the bottom up; 是学生把无限的能量的、潜力、头脑应用于更有创造力的社会实践中的行动；是學生把無限的能量、潛力、頭腦應用於更有創造力的社會實踐中的行動；It's about students channeling their boundless energy, potential, and intellect into more creative real-world practice; 是学生从在学生思维中自我禁锢到利用学生身份创造一切的认识……是學生從在學生思維中自我禁錮到利用學生身份創造一切的認識……It's about students breaking free from the self-imposed cage of "student mentality" and realizing they can leverage their student identity to create anything... 做到这些需要自下而上的拓荒，需要学生从自己的所学、所知、所想开始，与产业接轨、与前沿接轨。做到這些需要自下而上的拓荒，需要學生從自己的所學、所知、所想開始，與產業接軌、與前沿接軌。Achieving this requires bottom-up pioneering — students need to start from what they've learned, what they know, and what they think, and connect with industry and the frontier. 而"从-1到0"更像是NEIC在做的事：我们通过每天分层的多样化信息发布（包括AI前沿、创投报告、技术报告、最新实习JD信息整理、科创活动信息等等）、活动举行、项目从-1到0的扶持赋能我们的社员。我们也把初创项目、社区、企业、孵化器和投资机构等等引进来，大家一起进行内容&活动的生态合作。而「從-1到0」更像是NEIC在做的事：我們通過每天分層的多樣化資訊發佈（包括AI前沿、創投報告、技術報告、最新實習JD資訊整理、科創活動資訊等等）、活動舉行、項目從-1到0的扶持賦能我們的社員。我們也把初創項目、社區、企業、孵化器和投資機構等等引進來，大家一起進行內容&活動的生態合作。"From -1 to 0" is essentially what NEIC does: we empower our members through daily, layered, diverse information sharing (covering AI frontiers, VC reports, tech reports, curated internship JDs, startup event info, etc.), hosting events, and supporting projects from -1 to 0. We also bring in startups, communities, companies, incubators, and investment firms for ecosystem-level collaboration on content and events. 我们launch了多场线上下活动，看到了不同专业学生和不同领域的产业界人士在几场几十人的茶话会上畅所欲言，活动结束后互相connect迟迟不愿离去，大家一起探讨技术、探讨创业、探讨未来……或许这件事本身很微小，但至少在半年前，我身边99%的文商科专业学生跟我说AI离他们太远太远，说创业好像就是在创赛上写个BP。我們launch了多場線上下活動，看到了不同專業學生和不同領域的產業界人士在幾場幾十人的茶話會上暢所欲言，活動結束後互相connect遲遲不願離去，大家一起探討技術、探討創業、探討未來……或許這件事本身很微小，但至少在半年前，我身邊99%的文商科專業學生跟我說AI離他們太遠太遠，說創業好像就是在創賽上寫個BP。We've launched multiple online and offline events, and we've watched students from different majors and industry people from different fields speak freely at intimate gatherings of a few dozen people. After events, people keep connecting with each other, reluctant to leave, discussing tech, entrepreneurship, the future... Maybe this seems small, but just six months ago, 99% of the liberal arts and business students around me told me AI was way too far from them, and that "entrepreneurship" basically meant writing a business plan for a competition. 我们觉得NEIC做的事情至少对部分人很有意义，所以我们打算把这种氛围深入渗透到宁诺所有高校我們覺得NEIC做的事情至少對部分人很有意義，所以我們打算把這種氛圍深入滲透到寧諾所有高校We believe what NEIC is doing is meaningful for at least some people, so we plan to deeply embed this atmosphere into all universities in Ningbo. 所以我们要launch首个覆盖全宁波高校的科创社区：Emerge·甬现所以我們要launch首個覆蓋全寧波高校的科創社區：Emerge·甬現That's why we're launching the first sci-tech innovation community covering all Ningbo universities: Emerge. 未来·我们怎样发生？未來·我們怎樣發生？The Future — How Do We Make It Happen? Emerge·甬现是扎根宁波、由高校青年发起的科创落地社群，汇聚宁波诺丁汉大学、宁波大学、浙江万里学院、宁波工程学院、浙大宁波理工大学学子，聚焦AI等前沿科技，打造城市特色创新创业生态的年轻社群。Emerge·甬現是紮根寧波、由高校青年發起的科創落地社群，匯聚寧波諾丁漢大學、寧波大學、浙江萬里學院、寧波工程學院、浙大寧波理工大學學子，聚焦AI等前沿科技，打造城市特色創新創業生態的年輕社群。Emerge is a sci-tech innovation community rooted in Ningbo, initiated by university youth. It brings together students from the University of Nottingham Ningbo China, Ningbo University, Zhejiang Wanli University, Ningbo University of Technology, and NingboTech University. Focused on frontier tech like AI, it's a young community building a city-specific innovation and entrepreneurship ecosystem. 我们要促成创意、创新、创造、创业从高校学生中产生并落地：我們要促成創意、創新、創造、創業從高校學生中產生並落地：We want to make ideas, innovation, creation, and entrepreneurship originate from and be realized by college students: 对于这个领域的爱好者，我们会推进技术普惠，通过社群内的优质AI相关信息发布；AI知识共学、交流论坛、实操型workshop等活动提升大家对AI、创新创业创造的认知，激发创意。對於這個領域的愛好者，我們會推進技術普惠，通過社群內的優質AI相關資訊發佈；AI知識共學、交流論壇、實操型workshop等活動提升大家對AI、創新創業創造的認知，激發創意。For enthusiasts in this space, we'll promote tech accessibility through high-quality AI-related content in our community, co-learning sessions on AI, discussion forums, hands-on workshops, and other activities to raise awareness of AI, innovation, and entrepreneurship, and spark new ideas. 对于有成熟想法、有明确方向、有团队等相对成熟条件的founders、builders们，我们通过链接高校、政府、社区、孵化器等资源，促进项目落地。對於有成熟想法、有明確方向、有團隊等相對成熟條件的founders、builders們，我們通過鏈接高校、政府、社區、孵化器等資源，促進項目落地。For founders and builders who already have mature ideas, clear direction, and teams — the relatively more ready ones — we help projects land by connecting them with universities, government, communities, incubators, and other resources. 【欢迎宁波高校学生与我们共创！】【歡迎寧波高校學生與我們共創！】[All Ningbo university students are welcome to co-create with us!]
我为什么要做宁诺创投俱乐部（NEIC）我為什麼要做寧諾創投俱樂部（NEIC）Why I Started NEIC — The UNNC Venture Club
【这篇文章于2025年12月初创作，现在NEIC已经从民间的学生群体进化为了一个在C端、B端、G端游走的connector，并即将成立公司】【這篇文章於2025年12月初創作，現在NEIC已經從民間的學生群體進化為了一個在C端、B端、G端遊走的connector，並即將成立公司】[Written in early December 2025. NEIC has since evolved from a student group into a connector across consumer, enterprise, and government sectors — and is about to incorporate.]
2025年10.1，我创办了宁诺创投俱乐部。2025年10.1，我創辦了寧諾創投俱樂部。On October 1st, 2025, I founded the NEIC — the Nottingham Ningbo Venture Club. 我们的性质是一个民间学生团体，涉及的领域是"创投"、"AI"、"前沿科技"，我们预计在26年探索出比较明确的商业模式并成立公司。目前的定位/功能目前是：我們的性質是一個民間學生團體，涉及的領域是「創投」、「AI」、「前沿科技」，我們預計在26年探索出比較明確的商業模式並成立公司。目前的定位/功能目前是：We're essentially a grassroots student organization, working at the intersection of venture capital, AI, and frontier tech. We're planning to figure out a clear business model and incorporate as a company by 2026. Right now, our positioning and functions are: 1️⃣致力于为宁诺等高校学生提供前沿创业交流与技术实践平台；
2️⃣为企业提供相关产品验证、推广、曝光平台；
3️⃣为VC、初创、社区提供人才支持；
4️⃣尤其是为初创项目组提供多维度"孵化"支持1️⃣致力於為寧諾等高校學生提供前沿創業交流與技術實踐平台；
2️⃣為企業提供相關產品驗證、推廣、曝光平台；
3️⃣為VC、初創、社區提供人才支持；
4️⃣尤其是為初創項目組提供多維度「孵化」支持1️⃣ Providing a platform for cutting-edge entrepreneurial exchange and hands-on tech practice for students at UNNC and other universities;
2️⃣ Offering companies a platform for product validation, promotion, and exposure;
3️⃣ Supplying talent to VCs, startups, and communities;
4️⃣ And especially providing multi-dimensional "incubation" support for early-stage project teams 现在有正式社员160+，招新群在观察准社员400+，有管理员50+，已建联合作伙伴30+，主要是一些高校创协、创业社区、AI开源社区、初创、媒体等等。現在有正式社員160+，招新群在觀察準社員400+，有管理員50+，已建聯合作夥伴30+，主要是一些高校創協、創業社區、AI開源社區、初創、媒體等等。Right now we have 160+ official members, 400+ prospective members being observed in our recruitment group, 50+ admins, and 30+ partners we've connected with — mainly university entrepreneurship associations, startup communities, AI open-source communities, startups, media outlets, and so on. 我们在成立两个月左右的时间内做了3场活动，第一场是和WaytoAGI、Bonjour、Zion（函子科技）合办的黑客松，一共有7个项目从想法到demo，其中有3个在继续往下跑，虽然也比较不容易，但应该是宁诺有史以来第一次和社区、初创联合做这种AI黑客松；第二场是一个万圣节主题的校园大逃杀，和创投、AI无关，纯粹好玩，是我的CMO搞的，人气很高；第三场是和XbotPark（宁波）的投资负责人刘香老师以及两位在孵创业者进行的茶话会，主要是深度交流，从认知上给大家对"硬科技"、"创新创业"相关实际问题的"扫盲"。我們在成立兩個月左右的時間內做了3場活動，第一場是和WaytoAGI、Bonjour、Zion（函子科技）合辦的黑客松，一共有7個項目從想法到demo，其中有3個在繼續往下跑，雖然也比較不容易，但應該是寧諾有史以來第一次和社區、初創聯合做這種AI黑客松；第二場是一個萬聖節主題的校園大逃殺，和創投、AI無關，純粹好玩，是我的CMO搞的，人氣很高；第三場是和XbotPark（寧波）的投資負責人劉香老師以及兩位在孵創業者進行的茶話會，主要是深度交流，從認知上給大家對「硬科技」、「創新創業」相關實際問題的「掃盲」。Within about two months of launching, we held 3 events. The first was a hackathon co-organized with WaytoAGI, Bonjour, and Zion — 7 projects went from idea to demo, and 3 of them are still going (not easy, but it was probably the first time UNNC ever did an AI hackathon in collaboration with communities and startups). The second was a Halloween-themed campus battle royale — nothing to do with venture or AI, purely for fun, organized by my CMO, and it was a huge hit. The third was a fireside chat with Ms. Liu Xiang, the investment lead at XbotPark (Ningbo), along with two founders in their incubator — mainly a deep exchange to give everyone a reality check on hard tech and innovation/entrepreneurship. 我喜欢"创业"这个概念，最开始是单纯觉得有意思、有挑战性，喜欢创造一个概念、一套体系；且想搞钱、搞大钱。我喜歡「創業」這個概念，最開始是單純覺得有意思、有挑戰性，喜歡創造一個概念、一套體系；且想搞錢、搞大錢。I've always liked the idea of "entrepreneurship." At first it was simply because I found it interesting and challenging — I loved creating a concept, building a system. And yeah, I wanted to make money. Big money. 小学的时候在义卖会靠卖自己写的22万字中篇武侠小说创造了全班营业额的60%；之后和同学一块搞发明创造，还试图复刻锡纸留声机。小學的時候在義賣會靠賣自己寫的22萬字中篇武俠小說創造了全班營業額的60%；之後和同學一塊搞發明創造，還試圖複刻錫紙留聲機。In elementary school, I sold a 220,000-character martial arts novel I'd written at a charity sale and generated 60% of my class's total revenue. After that, my classmates and I got into inventing things — we even tried to build a tinfoil phonograph. 初中的时候喜欢读名著，搞了个公益的"私域社群"，和一群人一块聊文学、聊历史。初中的時候喜歡讀名著，搞了個公益的「私域社群」，和一群人一塊聊文學、聊歷史。In middle school, I was really into reading classics, so I started a little nonprofit "private community" where a bunch of us would talk about literature and history. 高中的时候喜欢看商业相关的书和视频，想过无数次"我要创业"但是不知道从什么开始高中的時候喜歡看商業相關的書和影片，想過無數次「我要創業」但是不知道從什麼開始In high school, I devoured business books and videos. I told myself "I'm going to start a business" countless times but had no idea where to begin. 高中升大一的暑假想把知识变现，所以手敲了一个月的独家思维导图，同时不依靠中介当地理家教接单，大一的时候也在学经济学的同时教国际生AP经济学（有个看了我思维导图并给出好评的的海淀某校小学弟考上了清华，事实证明我整理的东西质量还可以）。高中升大一的暑假想把知識變現，所以手敲了一個月的獨家思維導圖，同時不依靠中介當地理家教接單，大一的時候也在學經濟學的同時教國際生AP經濟學（有個看了我思維導圖並給出好評的的海淀某校小學弟考上了清華，事實證明我整理的東西質量還可以）。The summer before college, I wanted to monetize my knowledge, so I spent a month hand-typing exclusive mind maps. I also freelanced as a geography tutor without going through any agency. During freshman year, while studying economics myself, I tutored international students in AP Economics. (One kid from a Haidian school who used my mind maps and gave them a thumbs up got into Tsinghua — so I guess the quality of my stuff was decent.) 大一上开始会用一点点AI，在大一上的期末周自己写prompts联合GPT卖OCSA复习资料，一天卖了50+份，挣了1k+（有个看了我思维导图并给出好评的的同学拿了90分，事实证明我整理的东西质量还可以）。大一上開始會用一點點AI，在大一上的期末週自己寫prompts聯合GPT賣OCSA複習資料，一天賣了50+份，掙了1k+（有個看了我思維導圖並給出好評的的同學拿了90分，事實證明我整理的東西質量還可以）。In the first semester of freshman year, I started dabbling in AI. During finals week, I wrote prompts and teamed up with GPT to sell OCSA review materials — sold 50+ copies in a day and made over 1k RMB. (One classmate who used my mind maps scored 90, so again, quality verified.) 大一下在创客实验室做项目苟到了学校TOP10，但没进TOP5所以没拿到钱。冲刺的那几天真的很累，团队到后面稳定的就两个人，那时候每天在图书馆一边投实习、接电话、面实习；一遍做项目；每天就睡4h，整个人都不太好……不过幸运的是项目死了但也让我学到挺多东西，实习也找到了，还是和创新创业强相关的。大一下在創客實驗室做項目苟到了學校TOP10，但沒進TOP5所以沒拿到錢。衝刺的那幾天真的很累，團隊到後面穩定的就兩個人，那時候每天在圖書館一邊投實習、接電話、面實習；一遍做項目；每天就睡4h，整個人都不太好……不過幸運的是項目死了但也讓我學到挺多東西，實習也找到了，還是和創新創業強相關的。Second semester of freshman year, I worked on a project at the maker lab and scraped into the school's top 10, but didn't crack the top 5 so we got no funding. Those final sprint days were brutal — our team eventually dwindled to just two people. Every day I'd be in the library applying for internships, picking up calls, doing interviews, AND working on the project, all on 4 hours of sleep. I was a mess... But on the bright side, even though the project died, I learned a ton, and I landed an internship that was closely related to innovation and entrepreneurship. 大一升大二的暑假在中关村创业大街做创投生态实习，调研了海淀区优质高校的创新创业社团、学院；国内高质量创业/AI社区；一些初创项目、孵化器。调研相关主体共200+。当时有两句话让我记得很清楚：第一句是在调研高校创协时候听到的，大概说的是我们需要真正有商业化潜力的项目孵化而非教条式的创新创业教育；第二句是调研创业社区的时候听到的，大概是说年轻人（尤其大学生）该多去做创业相关的事，因为这个时期是机会成本最低的。Coffee Chat也是从暑假实习那时候开始做的，我和北京各种大厂、金融机构、高校的人一起吃饭聊天，之后也在回宁诺之后保持了这个习惯。大一升大二的暑假在中關村創業大街做創投生態實習，調研了海淀區優質高校的創新創業社團、學院；國內高質量創業/AI社區；一些初創項目、孵化器。調研相關主體共200+。當時有兩句話讓我記得很清楚：第一句是在調研高校創協時候聽到的，大概說的是我們需要真正有商業化潛力的項目孵化而非教條式的創新創業教育；第二句是調研創業社區的時候聽到的，大概是說年輕人（尤其大學生）該多去做創業相關的事，因為這個時期是機會成本最低的。Coffee Chat也是從暑假實習那時候開始做的，我和北京各種大廠、金融機構、高校的人一起吃飯聊天，之後也在回寧諾之後保持了這個習慣。The summer between freshman and sophomore year, I interned on Zhongguancun Startup Street, working on the venture ecosystem. I researched innovation and entrepreneurship clubs and schools at top universities in Haidian, high-quality startup and AI communities across China, and various startup projects and incubators — over 200 entities in total. Two things people said stuck with me. The first was from researching university entrepreneurship associations: what we need is real incubation of projects with commercial potential, not textbook-style innovation education. The second was from a startup community: young people, especially college students, should be doing more entrepreneurship-related stuff because this is when opportunity cost is at its lowest. That summer internship is also when I started doing Coffee Chats — grabbing meals and talking with people from big tech companies, financial institutions, and universities in Beijing. I kept the habit going after I came back to UNNC. 我在实习结束后的第二天便去了广州的wteam参加AI创客节，作为观众与初创、投资机构、社区的朋友们相谈甚欢；之后我在9.24去了上海S创；9.25去了杭州云栖大会；又在月末几次高强度聊天之后于10.1正式创立了NEIC宁诺创投俱乐部（关于去创客/AI节之类的活动：之后我又去了杭州的Google Devfest、魔搭开源大会……我还蛮喜欢逛创客节的）我在實習結束後的第二天便去了廣州的wteam參加AI創客節，作為觀眾與初創、投資機構、社區的朋友們相談甚歡；之後我在9.24去了上海S創；9.25去了杭州雲棲大會；又在月末幾次高強度聊天之後於10.1正式創立了NEIC寧諾創投俱樂部（關於去創客/AI節之類的活動：之後我又去了杭州的Google Devfest、魔搭開源大會……我還蠻喜歡逛創客節的）The day after my internship ended, I went to Guangzhou for the wteam AI Maker Festival, where I had a blast chatting with startup founders, investors, and community folks. Then on September 24th I went to S-Innovation in Shanghai; September 25th, Apsara Conference in Hangzhou. After a few intense conversations at the end of the month, I officially founded NEIC on October 1st. (On the topic of maker and AI festivals — I later went to Google Devfest in Hangzhou, the ModelScope Open Source Conference... I really enjoy going to these events.) 现在我们一块联动（建联）过的高校相关组织、社区、初创有西交利物浦大学企业家协会（SEDA）、温州肯恩大学生涯与创新协会、宁波诺丁汉大学创客实验室、UIBEAIA贸大创协；Bonjour！、WaytoAGI、Datawhale、Mindverse心识宇宙、观猹（特工宇宙）杭州AI工坊、函子科技、XbotPark、魔搭社区、宁波微电影协会、多个伙伴社区（宁波本地最大）、益优青年（初善创投）、AISPIRE（AI科研工具）、HyperKnow……我们看似base在宁波，实际上的管理员有杭州的、北京的、还有伦敦的等等，社员更是全球都有。現在我們一塊聯動（建聯）過的高校相關組織、社區、初創有西交利物浦大學企業家協會（SEDA）、溫州肯恩大學生涯與創新協會、寧波諾丁漢大學創客實驗室、UIBEAIA貿大創協；Bonjour！、WaytoAGI、Datawhale、Mindverse心識宇宙、觀猹（特工宇宙）杭州AI工坊、函子科技、XbotPark、魔搭社區、寧波微電影協會、多個夥伴社區（寧波本地最大）、益優青年（初善創投）、AISPIRE（AI科研工具）、HyperKnow……我們看似base在寧波，實際上的管理員有杭州的、北京的、還有倫敦的等等，社員更是全球都有。So far, the university organizations, communities, and startups we've connected and collaborated with include SEDA (Xi'an Jiaotong-Liverpool University Entrepreneurs Association), Wenzhou-Kean University Career and Innovation Association, UNNC Maker Lab, UIBEAIA; Bonjour!, WaytoAGI, Datawhale, Mindverse, Guancha (Agent Universe) Hangzhou AI Workshop, Zion, XbotPark, ModelScope Community, Ningbo Micro Film Association, several partner communities (the largest in Ningbo), Yiyou Youth (Chushan Ventures), AISPIRE (AI research tools), HyperKnow... We might look like we're based in Ningbo, but our admins are in Hangzhou, Beijing, London, and beyond — and our members are literally all over the world. 如果说对我来说印象最深刻的是什么，我的答案会是"人"；人是最根本的，AI技术发展得越NB人就越重要，而创投俱乐部可以聚集人，聚集和这个领域相关的人。一个很大的VC说他们看项目最核心是要看人，从人很年轻开始看；一个做孵化很成功的机构说他们的标准里最重要的是人，而且是这个人本身要做什么，各种外生性的看起来很NB的数据或者说很大的经历、Title远不及这个人本身。创投&AI的圈子不大，人和人总是互相认识，但比起认识的人很多我更在乎的是和人的深入互动。我很爱聊天，我经常和好朋友阿澤一聊就是6个小时起（最狠的一次连着聊了13个小时），我们可以从各种各样的事之中聊到创投、AI的东西，又从这些聊到各种各样的事；我和西浦SEDA的会长徐灏匀老师第一次认识就从凌晨12点聊到6点（当时我还在同时军训和备考GRE，太魔幻了）；第二次见观猹创始人仲泰老师的时候我们体验了00后创始人的饭局，那种氛围我很喜欢；前两天和HyperKnow创始人meeting的时候发现她和我一边大……我每和一个新朋友Coffee Chat的时候可能不会带有很强的目的性，而是去感受人。如果說對我來說印象最深刻的是什麼，我的答案會是「人」；人是最根本的，AI技術發展得越NB人就越重要，而創投俱樂部可以聚集人，聚集和這個領域相關的人。一個很大的VC說他們看項目最核心是要看人，從人很年輕開始看；一個做孵化很成功的機構說他們的標準裡最重要的是人，而且是這個人本身要做什麼，各種外生性的看起來很NB的數據或者說很大的經歷、Title遠不及這個人本身。創投&AI的圈子不大，人和人總是互相認識，但比起認識的人很多我更在乎的是和人的深入互動。我很愛聊天，我經常和好朋友阿澤一聊就是6個小時起（最狠的一次連著聊了13個小時），我們可以從各種各樣的事之中聊到創投、AI的東西，又從這些聊到各種各樣的事；我和西浦SEDA的會長徐灝勻老師第一次認識就從凌晨12點聊到6點（當時我還在同時軍訓和備考GRE，太魔幻了）；第二次見觀猹創始人仲泰老師的時候我們體驗了00後創始人的飯局，那種氛圍我很喜歡；前兩天和HyperKnow創始人meeting的時候發現她和我一邊大……我每和一個新朋友Coffee Chat的時候可能不會帶有很強的目的性，而是去感受人。If you ask me what's left the deepest impression on me, my answer would be "people." People are the most fundamental thing. The more powerful AI gets, the more important people become — and a venture club can bring people together, people who are relevant to this space. A major VC told me that when they evaluate projects, the most important thing is the people, and they start watching people when they're young. A really successful incubator said that in their criteria, what matters most is the person — what this person themselves wants to do. All the flashy external metrics, impressive resumes, and big titles don't hold a candle to who the person actually is. The venture and AI circle isn't that big; everyone kind of knows everyone. But more than knowing a lot of people, what I care about is having deep interactions with them. I love talking — my good friend Aze and I regularly chat for 6 hours straight (our record is 13 hours non-stop). We can go from random topics to venture and AI stuff and back again. The first time I met Xu Haoyun, the president of SEDA at XJTLU, we talked from midnight to 6 AM (and I was simultaneously doing military training and studying for the GRE — surreal). The second time I met Zhongtai, the founder of Guancha, we experienced a post-00s founders' dinner — I loved that vibe. A couple of days ago, I had a meeting with the founder of HyperKnow and realized she's the same age as me... Every time I do a Coffee Chat with a new friend, I don't go in with a strong agenda. I just go to feel people out. 当然，有人的地方就会产生真实需求。當然，有人的地方就會產生真實需求。Of course, wherever there are people, real needs emerge.
