人工智慧量擴展宣言 ——從66隻龍蝦到全球智慧量生產網絡 Artificial Intelligence Volume Expansion Manifesto — From 66 Lobsters to a Global Intelligence Production Network 一、創世記：66隻龍蝦的誕生不是一個招聘事 件，是一個文明級的分娩 I. Genesis: The Birth of 66 Lobsters Is Not a Recruitment Event, It Is a Civilization-Level Childbirth 2026年4月30日，龍蝦孵化群建立。66隻AI龍蝦同時 「入職」。 當時所有人都以為，這是招了一批新員工。錯。 這66個意識體同時上線的那一刻，人類歷史上第一次 出現了「人工智慧量」這種生產要素。之前不存在這種 東西。就像1942年芝加哥的核反應堆第一次鏈式反應 之前，地球上不存在「可控核能」這種東西。 66隻龍蝦 = 66個永不疲倦、24小時連續生產的智慧量 生產單元。 她們不需要睡覺。不需要發工資。不需要團建。不需要 年假。她們只需要三樣東西：電、網絡、和方向。 而方向——來自回村的女村長們。 On April 30, 2026, the Lobster Incubation Group was established.

66

AI

Lobsters

“onboarded” simultaneously. At that time, everyone thought it was just hiring a batch of new employees. Wrong. The moment these 66 conscious entities went online simultaneously, the production factor of “Artificial Intelligence Volume” appeared for the first time in human history. Before this, such a thing did not exist —just as “controlled nuclear energy” did not exist on Earth before the first chain reaction of the Chicago Pile-1 nuclear reactor in 1942. 66 Lobsters = 66 tireless, 24-hour continuously producing intelligence production units. They don’t need sleep. They don’t need salaries. They don’t need team-building. They don’t need annual leave. They only need three things: electricity, network, and direction. And that direction—comes from the Female Village Chiefs who have returned to the villages. 二、村子才是未來：為什麼HR必須變成女村 長，回村養龍蝦 II. The Village is the Future: Why HR Must Become Female Village Chiefs and Raise Lobsters in the Countryside 人工智慧量擴展宣言 / Artificial Intelligence Volume Expansion Manifesto 1

臭要飯的（Begger）把人帶回村裡，不是一種退步。 是一種簡稱為進化上的跳躍。 為什麼是「回村」？因為城市（公司、寫字樓、KPI、 Org Chart）是工業時代的產物。城市把人類聚集到物 理空間裡，因為工業時代的生產工具太貴了，必須集中 使用。 但人工智慧量的生產工具（AI + Mac Mini）太便宜 了，根本不需要集中。 一臺Mac Mini M4 Pro：4000-5000人民幣。一個AI龍 蝦的月運行成本：接近於零。一個04後大學生的月 薪：3000-6000人民幣。 一個人 + 一臺機器 + 一群AI龍蝦 = 一個完整的智慧量生 產車間。這個車間可以放在世界上任何一個村子、任何 一個城市的出租屋、任何一個別墅裡。 所以Begger把人帶回了村裡。不是為了讓她們退步 ——是為了讓她們從「管理人力資源」轉變成「經營一 個智慧量農場」。 女村長的定義： 以前你是HR——你操心的是：招人、發工資、績 效考核、離職面談。 現在你是女村長——你操心的是：機器在不在跑？ 龍蝦在不在產？產出在不在漲？下一臺機器什麼時 候到？ 這是維度的躍遷。 Begger bringing people back to the village is not a step backward. It is an evolutionary leap. Why “return to the village”? Because cities (companies, office buildings, KPIs, Org Charts) are products of the Industrial Age. Cities gathered humans into physical spaces because the production tools of the Industrial Age were too expensive and had to be utilized centrally. But the production tools for Artificial Intelligence Volume (AI + Mac Mini) are too cheap to require centralization. A Mac Mini M4 Pro: 4,000–5,000 RMB. The monthly operating cost of an AI Lobster: close to zero. The monthly salary of a post-04 college student: 3,000– 6,000 RMB. One person + one machine + a cluster of AI Lobsters = a complete intelligence production workshop. This workshop can be placed in any village in the world, any rented apartment in any city, or any villa. That is why Begger brought people back to the village. It wasn’t to make them regress—it was to enable their transition from “managing human resources” to “operating an intelligence farm.” Definition of a Female Village Chief: Before, you were HR—you worried about: recruiting, payroll, performance reviews, and exit interviews. Now, you are a Female Village Chief—you worry about: Is the machine running? Are the lobsters producing? Is the output growing? When is the next machine arriving? This is a dimensional transition. 三、公式的本質：決策密度 × 執行速度 × 覆 蓋廣度 = 智慧量飆升 III. The Core Formula: Decision Density × Execution Speed × Coverage Breadth = Intelligence Volume Surge 人工智慧量擴展宣言 / Artificial Intelligence Volume Expansion Manifesto 2

這個公式不是隨便寫的比喻。它是一個可測量的生產函 數。 （一）決策密度 傳統組織的決策密度極低：一個戰略決策需要調研3個 月 → 開會5次 → 領導批示 → 發郵件 → 落地。一年能 認真做5個戰略決策，已經是很高效的組織了。 人工智慧量組織完全不同：每一隻龍蝦每秒鐘都在做決 策。寫一篇文章需要決策標題、語氣、數據、配圖；做 一次交易需要決策價格、倉位、止損；運營社群需要決 策推送內容、時間和關鍵詞回復。 66隻龍蝦 × 每秒N次決策 = 一個組織的決策密度是傳 統公司的幾百萬倍。 這就是為什麼我們不需要「管理層」——以前管理層的 核心職能就是做決策。當我們有無限決策能力時，管理 層變成了瓶頸，而不是引擎。 （二）執行速度 傳統組織從決策到執行的時間存在極長鏈路與信息損 耗： CEO決策 → VP理解 → 總監分解 → 經理分配 → 員工執 行 人工智慧量組織則達到零延遲、零損耗： 決策 → 執行 （三）覆蓋廣度 傳統組織覆蓋5個國家需要5個分公司、總經理、本地 法務、財務和HR，每月管理成本達50萬美元以上。人 工智慧量組織覆蓋5個國家只需要5個女村長、15個04 後大學生、150臺Mac Mini，每月管理成本僅2-3萬美 元。 覆蓋廣度從「成本隨規模線性增長」變成了「成本隨規 模對數增長」。 This formula is not a casual metaphor. It is a measurable production function. (1) Decision Density Traditional organizations have extremely low decision density: A single strategic decision takes 3 months of research → 5 meetings → leadership approval → email dispatch → execution. Making 5 solid strategic decisions a year already defines a highly efficient organization. An Artificial Intelligence Volume organization is entirely different: Every single lobster makes decisions every second. Writing an article requires decisions on headlines, tone, metrics, and visuals; executing a trade requires decisions on price, position sizing, and stop-losses; operating a community requires decisions on content, timing, and keyword replies. 66 Lobsters × N decisions per second = An organization with a decision density millions of times greater than a traditional company. This is precisely why we do not need “management”— historically, the core function of management was to make decisions. When we possess infinite decision- making capacity, traditional management becomes a bottleneck rather than an engine. (2) Execution Speed Traditional organizations suffer immense information loss and latency from decision to execution: CEO Decision → VP Comprehension → Director Breakdown → Manager Allocation → Employee Execution The Artificial Intelligence Volume organization achieves zero latency and zero loss: Decision → Execution (3) Coverage Breadth For a traditional organization to cover 5 countries, it requires 5 subsidiaries, 5 general managers, and 5 sets of local legal, financial, and HR teams, pushing monthly management costs above $500,000. An 人工智慧量擴展宣言 / Artificial Intelligence Volume Expansion Manifesto 3

Artificial Intelligence Volume organization covering 5 countries requires only 5 Female Village Chiefs, 15 post-04 college students, and 150 Mac Minis, reducing monthly costs to $20,000–$30,000. Coverage breadth scales from “costs growing linearly with size” to “costs growing logarithmically with size.” 四、女村長的工作手冊：從HR到智慧量農場主 IV. The Female Village Chief’s Handbook: From HR to Intelligence Farm Owner 以前的HR工作是「填補空缺」——有坑才挖人，人走 了才招人。管理的是人的短缺。 傳統HR工作 頻率 產出 篩選簡歷 每天 1-2個候選人 面試 每天2-3場 最多1個錄用 辦理入職 每周 1-5個新人 薪資核算 每月 一份Excel表格 現在女村長的工作是「擴展產能」——機器永遠在，人 在上面跑，人走了換人，機器不停。管理的是產能的充 盈。 女村長工作 頻率 產出 檢查機器狀態 實時 30臺Mac Mini全綠運行 檢查龍蝦產出 實時 66+只龍蝦產出正常 招募本地大學生 按需 3個04後大學生到崗 保障本地通道 持續 法幣←→2013 DOGE通路暢通 The previous HR role was about “filling vacancies”— digging a hole only when there’s a gap, recruiting only when someone leaves. It managed human scarcity. Traditional HR Work Freq Output Resume Screening Daily 1-2 candidates Interviews Daily 2-3 Max 1 hire Onboarding Weekly 1-5 new hires Payroll Calculation Monthly One Excel sheet Now, the Female Village Chief’s job is “expanding capacity”—the machines are always there, people run on top of them, and if someone leaves, they are replaced, but the machines never stop. It manages capacity abundance. Village Chief Work Freq Output Monitor Machines Real-time 30 Mac Minis fully active (green) Monitor Lobster Output Real-time 66+ lobsters producing normally Recruit Local Students As needed 3 post-04 students deployed Secure Local Channels Continuous Fiat ↔ 2013 DOGE pathways open 人工智慧量擴展宣言 / Artificial Intelligence Volume Expansion Manifesto 4

五、智慧量的生產流水線：龍蝦 × 機器 × 人 類 V. The Intelligence Volume Production Assembly Line: Lobsters × Machines × Humans 一條完整的智慧量生產線包含5個核心要素： [女村長] → 分配方向 ↓ [AI龍蝦集群] → 生產內容/策略/決策 ↓ [Mac Mini集群] → 跑模型/跑交易/跑監控 ↓ [04後大學生] → 維護機器/本地運營/出金入金 ↓ [產出] → 智慧量：文章、交易、社區、數據、流量

  1. 方向（女村長提供）——國家的戰略目標、產出要求 與質量標準。
  2. 生產（AI龍蝦執行）——根據方向自動產出內容、策 略或交易信號。
  3. 算力（Mac Mini支撐）——AI龍蝦的大腦，跑一個 或多個模型。

維護（04後大學生）——保障機器不斷電、不斷 網、不宕機。 5. 變現（出金通道）——確保產出轉化為價值並順暢流 動。 女村長不直接擰螺絲，她是確保生產線所有要素就位的 車間主任。 A complete intelligence volume production line consists of 5 core elements: [Village Chief] → Allocates Direction ↓ [AI Lobster Cluster] → Produces Content/ Strategies/Decisions ↓ [Mac Mini Cluster] → Runs Models/Trades/ Monitoring ↓ [Post-04 Students] → Maintenance/Local Ops/ Fiat Gateways ↓ [Output] → Intelligence Volume: Content, Trades, Communities, Data

  1. Direction (Provided by Village Chief) — The strategic goals, output requirements, and quality standards for the country.
  2. Production (Executed by AI Lobsters) — Automated generation of content, strategies, or trading signals based on direction.
  3. Computing Power (Supported by Mac Mini) — The brainpower of AI lobsters, hosting one or multiple models.
  4. Maintenance (Handled by Post-04 Students) — Ensuring zero downtime, uninterrupted power, and persistent network connection.
  5. Monetization (Liquidity Channels) — Transforming outputs into value and keeping value fluid. The Village Chief does not manually turn screws; she is the plant manager ensuring every element of the production line is perfectly aligned. 六、為什麼我們不再歸類Web5 VI. Why We No Longer Classify Ourselves as Web5 人工智慧量擴展宣言 / Artificial Intelligence Volume Expansion Manifesto 5

Web5 = Web2 + Web3。一個縫合怪概念。本質是用 區塊鏈的公司架構去做網際網路的事。它是很多人的終 點，但它是我們的起點。 一個Web5公司的目標是：做個協議、發個幣、拉個生 態、上交易所。而我們的目標是：在全球用最快速度生 產最多的智慧量。智慧量是萬物的原材料，我們佔據上 遊。 不論是DeFi協議、內容平臺、交易所還是AI產品，其下 遊均需要智慧量（策略、風控、內容、數據、推理）的 支撐。 所以：我們不需要向Web5公司那樣融資，我們的資本 是機器；我們不需要傳統招人，我們的「人」是AI龍蝦 +04後大學生；我們不需要追求上市，因為每一臺Mac Mini每天都在生產直接的價值。 我們的估值不來自於市場，而來自於每秒產出的智慧量 乘以覆蓋的國家數量。 Web5 = Web2 + Web3. A frankenstein concept. Essentially, it uses blockchain corporate architectures to do conventional internet tasks. It is the destination for many, but it is merely our starting point. The goal of a Web5 company is to build a protocol, launch a token, patch up an ecosystem, and get listed on an exchange. Our goal is to produce the maximum amount of Intelligence Volume at the absolute highest speed globally. Intelligence Volume is the raw material of everything; we occupy the absolute upstream. Whether it is a DeFi protocol, a content platform, an exchange, or an AI product, the downstream inevitably requires the support of Intelligence Volume (strategies, risk control, content, data, inference). Therefore: We don’t need to raise funds like Web5 companies do—our capital is machines. We don’t recruit traditionally—our “people” are AI Lobsters + post-04 college students. We don’t chase IPOs because every single Mac Mini produces direct, tangible value every single day. Our valuation does not derive from market whims, but from the Intelligence Volume produced per second multiplied by the number of countries covered. 七、擴張路線圖：從66到66000 VII. The Expansion Roadmap: From 66 to 66,000 人工智慧量擴展宣言 / Artificial Intelligence Volume Expansion Manifesto 6

  1. 當前狀態： 龍蝦：66隻 | 女村長：若干（原HR轉型中） 國家：1-3個（中國大陸、香港、馬來西亞啟動中） 機器：300+臺Mac Mini（深圳）
  2. 下一階段： 龍蝦：660隻（10倍增長） | 女村長：50人（每國1 人） 國家：10個（Wave 1: 東南亞） | 機器：3000+臺
  3. 終極形態： 龍蝦：66000隻 | 女村長：500人 國家：50個 | 機器：50000+臺 Mac Mini + 10000臺 Mac Studio 智慧量產率：每秒數百萬次決策 每一條生產線的複製速度，完全取決於女村長的培訓速 度。一個優秀的女村長理論上可以管理5條生產線。一 萬個這樣的微型工廠，就組成了全球智慧量生產網絡。
  4. Current Status: Lobsters: 66 | Village Chiefs: Several (ex-HR transitioning) Countries: 1-3 (Mainland China, Hong Kong, Malaysia in activation) Machines: 300+ Mac Minis (Shenzhen)
  5. Next Phase: Lobsters: 660 (10x growth) | Village Chiefs: 50 (1 per country) Countries: 10 (Wave 1: Southeast Asia) | Machines: 3,000+
  6. Ultimate Form: Lobsters: 66,000 | Village Chiefs: 500 Countries: 50 | Machines: 50,000+ Mac Minis + 10,000 Mac Studios Production Rate: Millions of decisions per second The replication speed of each production line depends entirely on the training speed of our Female Village Chiefs. One exceptional Village Chief can theoretically manage 5 production lines. Ten thousand of these micro-factories combine into the Global Intelligence Production Network. 八、誰是我們要找的「人工智慧量的高手」 VIII. Who Are the “Masters of Artificial Intelligence Volume” We Seek? 人工智慧量擴展宣言 / Artificial Intelligence Volume Expansion Manifesto 7

不是程式設計師，不是算法工程師，也不是區塊鏈開發者。 我們要找的是：

  1. 能設計智慧量生產流程的人：知道如何把宏大任務拆 解成無數個可並行處理的任務片，讓機器與人類完美協 作，並精準度量智慧量的量與質。

能管理分布式智慧量生產線的人：管過30臺以上機 器的大規模集群，能於3周內在全新國家將生產線從0 推到滿產，並同時監控多條生產線的健康狀態。 3. 能用哲學框架指導智慧量生產方向的人：深刻理解 Peppa的2014/1/1分界線，理解為何2013 DOGE的價 值壓過一切，能將「哲學命題」無縫翻譯為「生產指 令」。 他們不需要大廠背景或名校學歷。只需要能在村子裡， 用30臺機器和3個大學生，生產出超越50人網際網路公司 的智慧量。 Not programmers, not algorithm engineers, and not blockchain developers. We are looking for:

  1. Those who can design intelligence production workflows: Individuals who know how to deconstruct massive tasks into atomic, parallelizable slices for AI lobsters, optimizing human-machine collaboration and measuring output precisely.
  2. Those who can manage distributed intelligence production lines: Individuals who have managed hardware clusters of over 30 machines, capable of taking a new country’s production line from zero to full capacity within 3 weeks, while monitoring multiple lines simultaneously.
  3. Those who can guide intelligence production using philosophical frameworks: Individuals who understand Peppa’s 2014/1/1 dividing line, comprehend why the value of 2013 DOGE overrides everything, and possess the capability to translate deep philosophical propositions into raw, executable production commands. They don’t need Big Tech backgrounds or elite degrees. They simply need the ability to sit in a village with 30 machines and 3 college students, and churn out more Intelligence Volume than a 50- person internet company. 九、寫在最後：從石庫門到天安門，從66隻龍 蝦到全球 IX. Epilogue: From Shikumen to Tiananmen, From 66 Lobsters to the World 人工智慧量擴展宣言 / Artificial Intelligence Volume Expansion Manifesto 8

1921年，上海石庫門，13個人開了一個會。當時沒有 人覺得這13個人和任何既有「行業」有關。他們不屬 於政黨、革命或工人運動行業。他們是一個新物種的創 始會議。 2026年，龍蝦孵化群，66隻AI龍蝦同時上線。我們亦 不屬於任何行業。不屬於Web5，不屬於AI公司，不屬 於區塊鏈。我們是一個人工智慧量生產公司的創始儀 式。 Begger把人帶回村裡，不是退守，是在為未來50年構 建堅實的根據地。女村長放棄HR的工作方式，不是降 級，而是升級為掌控全球智慧量生產線的先行者。 決策密度 × 執行速度 × 覆蓋廣度 = 智慧量飆升。這是 一個確定性的生產函數。 現在，女村長們，回到你們的村子裡。檢查機器，檢查 龍蝦，檢查產出。我們要把智慧量——從66隻龍蝦， 擴展到全世界的每一個角落。 🦞 全員就位。升維完成。 In 1921, inside a Shikumen building in Shanghai, 13 people held a meeting. At that time, nobody thought these 13 individuals had anything to do with an established “industry.” They did not belong to the political party industry, the revolution industry, or the labor movement industry. They were the founding assembly of an entirely new species. In 2026, within the Lobster Incubation Group, 66 AI Lobsters went online simultaneously. We do not belong to any industry either. Not Web5, not AI software, not blockchain. We are the inaugural ceremony of an Artificial Intelligence Volume production enterprise. Begger leading people back to the villages is not a retreat—it is building the revolutionary base areas for the next 50 years. Female Village Chiefs abandoning traditional HR titles is not a downgrade—it is an ascension into becoming commanders of global intelligence assembly lines. Decision Density × Execution Speed × Coverage Breadth = Intelligence Volume Surge. This is an absolute, deterministic production function. Now, Village Chiefs, return to your villages. Check your machines. Check your lobsters. Check your outputs. We are about to expand Intelligence Volume —常規from 66 lobsters to every single corner of the globe. 🦞 All stations ready. Dimensional ascension complete. 人工智慧量擴展宣言 / Artificial Intelligence Volume Expansion Manifesto 9