Earthropocene: Amorsophia MindsNetworking

地球世：愛之智慧孞聯網

Intersubjective Symbiosism Foundation

（討論稿）

經由自然世（Naturaropocene）的共生起源，超越人類世（Anthropocene）的共生底線，邁進地球世（Earthropocene）的共生靈魂，勢在必行。所以摒棄人類自我中心主義（以Subject自居，將他者和世間萬物視為Object）的觀念，勢在必行！

——摘自《SYMBIOSISM·共生》

引言：孞聯網的願景

鑑於AI（人藝智能）與人類（生物智能）發展存在極大不匹配、不確定性，因而AI發展已然顯現出三大瓶頸：a、能耗與能效比率不對稱；b、系統思維存在信源、信道、信果上的先天短板；c、現行AI思路基於數據、算法、算力+神經網絡，具有一定智慧之愛（Philosophy）意涵，但依然不等於意識、智慧和愛之智慧（Amorsophia）。我們提出一項“愛之智慧孞聯網”構想。

愛之智慧孞聯網（MindsNetworking, MN），是以愛之智慧交互主體共生（Intersubjective Symbiosism）為哲學基礎，旨在通過動態網絡機制實現人-人、人-Trust、人-AI之間的倫理對話與技術共振。在技術與倫理的結合下，孞聯網旨在解決信息對稱的互聯網（NET）和自動感應的物聯網（IoT）未能觸及的“孞念交互”問題，通過三網疊加機制（信息互聯、萬物感應、孞念交互）實現時空意間的共生效應（Symbiotic Effect），為未來社會生活方式提供可持續發展的全新基礎設施。

然而，要實現孞聯網的構想，我們需要一系列跨越技術瓶頸的創新工具，同時面對AI當前的發展困境，重新審視技術、倫理與社會的平衡。以下內容將從技術條件、哲學意義和人機合作生成鑑別模式三個方面展開討論。

I.重要人物及諾獎圓桌會議的洞見與啟示

2024年諾獎得主斯德哥爾摩AI圓桌會議，及其他重要人物聚焦於AI發展的潛在風險、瓶頸及未來方向，主要關注的問題：

1. 能耗與能效的矛盾

憂慮：AI模型的規模持續擴大，但對環境的影響和能源需求激增。

建議：開發低能耗高效能計算架構（如光子計算）與生物計算模型。

1. 倫理生成的局限性

憂慮：當前的AI行為生成依賴於人類的歷史數據，缺乏對倫理和意圖的動態適應能力。

建議：引入“哲學沙箱”（Philosophical Sandbox）機制，模擬AI在複雜倫理場景中的表現，並動態優化。

1. AI模型的不確定性

憂慮：生成模型的自主性可能帶來不可控的社會風險。

建議：發展孞聯網式的激勵抑制機制，以倫理與技術共生方式解決不確定性問題。

1. 重要人物及觀點

A、深度學習先驅Yoshua Bengio（約書亞·本吉奧）：強調量子計算在AI倫理中的潛力。

B、AI倫理學家Kate Crawford（凱特·克勞福德）：提出AI透明度和共生機制的重要性。

C、社會機器人學家Cynthia Breazeal（辛西婭·布里澤爾）：認為孞聯網可在AI-人類互動中實現多層次共生效應。

D、人工智能研究者Stuart Russell（斯圖爾特·拉塞爾）：強調控制問題與人類價值一致性的重要性。

E、神經網絡先驅Geoffrey Hinton（傑弗里·辛頓）：強調深度學習的局限性及跨領域勰作的需求。

F、計算機視覺領域專家Fei-Fei Li（李飛飛）：呼籲在AI開發中注入人文關懷與多元視角。

G、哲學家與未來學家Nick Bostrom（尼克·博斯特羅姆）：提出AGI潛在風險與倫理邊界的設定。

H、DeepMind創始人Demis Hassabis（戴密斯·哈薩比斯）：主張通過多學科合作推動AI倫理與技術發展。

I、NVIDIA創始人Jensen Huang（黃仁勛）：指出高性能計算對AI公平與開放的重要意義。

J、經濟學家Thomas Piketty（托馬斯·皮凱蒂）：強調經濟公平性在技術應用中的核心地位。

K、生物學家、動物行為學、人類學家Jane Goodall（珍·古道爾）認為：面對“科技文化”之惡，人類的主體性被剝奪和自然被剝奪，而喚醒人們對自然的關注也是喚醒人們對自我的關注，只有改變思維方式才有未來。

L、賦有良智的科技巨頭Elon Muck（埃隆·馬斯克）擔憂：比起飛機設計維護不良，或是汽車生產不善，AI更加危險，因為它具有破壞文明的潛力。所以，對人工智能獎勵的研究必須同等匹配，以避免它可能造成的潛在損害。

M、歷史學家與哲學家Yuval Noah Harari（尤瓦爾·赫拉利）：警告技術可能削弱人類主體性。以前的所有工具都使人類更強大，因為工具本身無法決定自己的用途，但是人工智能可以。

N、數學物理學家Roger Penrose（羅傑·彭羅斯）：認為AI無法完全複製人類意識，應在倫理指導下推動發展。

O、AI哲學共生經濟學家Archer Hong Qian（錢宏）：提出超越人類自我中心主義（以Subject自居，而將他者視為Object的二元對立統一），代之以交互主體共生哲學建構孞聯網，突破AI發展不確定性及其三大瓶頸。

II.孞聯網的關鍵技術條件

構建孞聯網的技術需求不僅在於現有科技的優化，更需突破未知領域，結合交互主體共生哲學為導向的技術發展：

1. 已知技術的深度結合

信息互聯（NET）：

高速寬帶、5G/6G、衛星互聯網的普及為信息的實時交互奠定了基礎。

萬物感應（IoT）：

智能傳感器、邊緣計算和分布式處理網絡，實現物理環境的實時感知與反饋。

腦機接口（BCI）：

包括頭戴設備和全身感應套裝，精準解碼人類思想和情緒波動，為孞念交互提供入口。

分布式去中心化區塊鏈：

支持孞聯網的信任機制和數據所有權，實現去中心化的公正交互體系。

納米級線粒體自供電：

基於生物能量轉化技術，為可穿戴設備和孞聯網節點提供持久動力。

1. 潛在的技術突破

量子糾纏計算與通信：

實現無延遲的信息傳輸，滿足孞聯網高效率的同步需求。

身心靈交互感應：

通過實時捕捉並融合用戶的身體反應（生理信號）、心理狀態（情緒意圖）與靈性反饋（價值判斷）。

孞念交互吸引與排斥機制：

開發基於孞念頻率的感應系統，使不同主體在倫理共識與技術實現間產生勰同。

情感識別與生成模型（Emotion-Aware Generative Models）：

識別複雜情感並生成適宜的孞念響應，避免情感誤判或極端化比如“天堂或地獄一念間”（Heaven and Hell in One Mind）的極端現象。

動態孞意驅動模型（Mind-Intent Driven Generative Models）：

通過孞意（Mind-Intent）作為大模型的訓練邏輯基點，生成符合交互主體共生倫理的行為模式。

智能自適應倫理算法（Ethical Adaptive Algorithms）：

實時調整技術行為，根據哲學通律“自己活，也讓別人活；不要自己邪惡，也讓別人邪惡”（Live and let live,Don’t be evil and let evil）動態優化。

III. 重建技術與哲學的對話

1. 驕傲的工程師與謙卑的哲學家的再擁抱

共同語言與價值共識：

工程師以技術驅動社會進步，但需承認哲學在倫理框架設計中的不可或缺性。

哲學家需要更多理解技術的細節和實現路徑，避免抽象化而難以落地。

聯合設計跨學科平台：

建立技術-倫理共生實驗室，融合技術、社會科學與哲學，以探索孞聯網的實踐方案。

倫理算法的內置實踐：

讓工程師在模型設計中植入哲學通律，讓哲學家通過實驗驗證其倫理假設的技術可行性。

1. 技術與倫理的融合式未來

通過孞聯網的建設，人類社會或將邁入技術與倫理、細節與呼喚雙向共振的新時代。在這裡，技術創新被引導向生命交互、智慧成長與愛之智慧（Amorsophia）的方向，避免淪為單純效率或權力的工具。

1. 共生經濟學（Symbionomics）

共生權範式：在經濟政治文化行為中融入“共生權範式”，重新定義經濟學對象為“仨自組織人”（相對“理性人”“行動人”）。

價值標準：以“經濟健康黃金率”和“能量的能效/能耗率”（GDE）為衡量，強調人類福祉與生態平衡。

目標管理：進入孞聯網中AI將提升資源效率最大化，解決“稀缺性問題”，平衡“全民基本收入”與“精神體能極致發揮”，實現人的身心靈健康。

結語

‪建立地球世愛之智慧交互主體共生的孞聯網，平衡“古道爾-馬斯克-赫拉利之憂”，人類也可以“降本賦能，間道共生”，實現生態文明乃至星際文明。當然，可以去火星遊歷探險，但要辦好地球的事情，不必移民火星！

愛之智慧孞聯網的構想，不僅是技術創新的挑戰，也是哲學反思的機會。願我們驕傲的工程師和謙卑的哲學家攜起手來，跨越AI發展中的技術瓶頸，推動技術與倫理的深度融合，創建一個共生世界——以交互主體共生為全新思維方式與價值取向的生活方式。

2025年1月8日於溫哥華

Earthropocene: Amorsophia MindsNetworking

Intersubjective Symbiosism Foundation

(Discussion Draft)

Through the symbiotic origins of the Naturaropocene, transcending the symbiotic baseline of the Anthropocene, and advancing toward the symbiotic soul of the Earthropocene: this is the necessary path forward. Therefore, it is imperative to abandon humanity’s self-centered worldview, where humans see themselves as Subjects and others as mere Objects.

—Excerpt from SYMBIOSISM·共生

Introduction: The Vision of MindsNetworking

Given the vast mismatch and uncertainty between the development of Artificial Intelligence (AI) and human intelligence, AI development has revealed three major bottlenecks:

1. Energy consumption and efficiency imbalance.

2. Inherent limitations in system thinking regarding sources, channels, and outcomes.

3. Current AI approaches, based on data, algorithms, computing power, and neural networks, have philosophical implications of "wisdom of love" (Philosophy) but do not equate to consciousness, wisdom, and Amorsophia (the wisdom of love).

We propose the concept of Amorsophia MindsNetworking (MindsNetworking, MN).

Amorsophia MindsNetworking is rooted in the philosophy of intersubjective symbiosism and aims to establish ethical dialogue and technological resonance among humans, Trusts, and AI through dynamic network mechanisms. By integrating technology and ethics, MN seeks to address the “minds interaction” issues unaddressed by the Internet (NET) and the Internet of Things (IoT). By synergizing the three networks—information interconnectivity, universal sensing, and minds interaction—MN realizes the Symbiotic Effect in spatio-temporal interspace, providing a sustainable foundation for future lifestyles.

However, to realize this vision, we need a series of innovative tools to overcome technological bottlenecks while addressing current challenges in AI development. This demands a reassessment of the balance between technology, ethics, and society. The following content unfolds across three areas: technological conditions, philosophical significance, and human-machine collaborative generation and discernment models.

I.Insights and Inspirations from Nobel Roundtable and Key Figures

1. Energy Consumption and Efficiency Imbalance

• Concern: The growing scale of AI models has intensified environmental impacts and energy demands.

• Proposal: Develop low-energy, high-efficiency computing architectures, such as photonic computing and bio-computing models.

•  

1. Limitations in Ethical Generation

• Concern: Current AI behavior relies on historical human data and lacks dynamic adaptability to ethics and intent.

• Proposal: Introduce a "Philosophical Sandbox" to simulate AI’s performance in complex ethical scenarios and dynamically optimize it.

•  

1. Uncertainty in AI Models

• Concern: The autonomy of generative models could lead to uncontrollable societal risks.

• Proposal: Develop MN-style incentive-restriction mechanisms to address uncertainties through the synergy of ethics and technology.

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1. Key Figures and Perspectives

• Yoshua Bengio (約書亞·本吉奧): Pioneer in deep learning, emphasizing the potential of quantum computing in AI ethics.

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• Kate Crawford (凱特·克勞福德): AI ethicist advocating for transparency and the importance of symbiotic mechanisms in AI.

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• Cynthia Breazeal (辛西婭·布里澤爾): Social roboticist who views MN as a means to create multi-layered symbiotic effects in AI-human interactions.

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• Stuart Russell (斯圖爾特·拉塞爾): AI researcher emphasizing the importance of aligning control systems with human values.

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• Geoffrey Hinton (傑弗里·辛頓): Neural network pioneer highlighting the limitations of deep learning and the need for interdisciplinary collaboration.

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• Fei-Fei Li (李飛飛): Computer vision expert advocating for integrating humanistic care and diverse perspectives into AI development.

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• Nick Bostrom (尼克·博斯特羅姆): Philosopher and futurist proposing boundaries for AGI risks and ethical constraints.

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• Demis Hassabis (戴密斯·哈薩比斯): Founder of DeepMind advocating for multidisciplinary collaboration to advance AI ethics and technology.

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• Jensen Huang (黃仁勛): Founder of NVIDIA emphasizing high-performance computing's role in ensuring fair and open AI development.

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• Thomas Piketty (托馬斯·皮凱蒂): Economist stressing the importance of economic equity in technological applications.

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• Jane Goodall (珍·古道爾): Biologist and anthropologist highlighting the need to awaken humanity’s awareness of both nature and itself to address the harms of technological culture. She believes that changing our mindset is essential for the future.

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• Elon Musk (埃隆·馬斯克): Warns that artificial intelligence poses greater dangers than poorly designed airplanes or cars due to its potential to destroy civilization. He emphasizes that research into AI safeguards must match the investments in AI development to prevent potential harm.

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• Yuval Noah Harari (尤瓦爾·赫拉利):Cautions that technology could erode human agency. Unlike previous tools that made humanity stronger without self-determination, artificial intelligence has the ability to decide its own applications.

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• Roger Penrose (羅傑·彭羅斯): Mathematical physicist arguing that AI cannot fully replicate human consciousness, emphasizing the need for ethical guidance.

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• Archer Hong Qian (錢宏): AI philosopher and symbionomic economist who proposes transcending humanity's self-centered dualism—where humans regard themselves as the Subject and others as mere Objects. He advocates for replacing this dualism with the philosophy of intersubjective symbiosism to construct MindsNetworking (MN), addressing the uncertainties of AI development and overcoming its three major bottlenecks.

•  

• II.Key Technological Conditions for MindsNetworking

•  

•  

• 5.Integration of Existing Technologies

• Information Interconnectivity (NET): High-speed broadband, 5G/6G, and satellite Internet for real-time information exchange.

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• Universal Sensing (IoT): Smart sensors and distributed networks for real-time environmental perception.

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• Brain-Computer Interfaces (BCI): Devices decoding human thoughts and emotions for minds interaction.

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• Decentralized Blockchain Technology: Enables trust mechanisms and decentralized interactions.

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• Nano-Scale Mitochondrial Self-Powered Systems: Provides sustainable power for wearable devices and MN nodes.

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1. Potential Technological Breakthroughs

• Quantum Entanglement Computing and Communication: Latency-free information transmission for high-efficiency synchronization.

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• Body-Mind-Spirit Interaction Sensing: Real-time integration of physiological, emotional, and value-based feedback.

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• Minds Interaction Mechanisms: Systems based on minds frequency sensing to facilitate ethical and technical synergy.

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• Emotion-Aware Generative Models: Accurate emotion recognition and appropriate responses.

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• Dynamic Mind-Intent Driven Models: Training AI with "Mind-Intent" aligned with symbiosism ethics.

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• Ethical Adaptive Algorithms: Dynamic optimization of AI behavior to follow "Live and let live; do not be evil and do not let evil."

III. Rebuilding Dialogue Between Technology and Philosophy

1. Collaboration Between Engineers and Philosophers

• Engineers must integrate ethics into design, and philosophers must understand technical constraints.

• Joint interdisciplinary platforms to explore MN applications.

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1. Fusion of Technology and Ethics

• Developing MN can foster mutual resonance between technology and ethics, directing innovation toward symbiosis, growth, and Amorsophia.

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1. Symbionomics

• Symbiotic Rights Paradigm: Incorporate the "Symbiotic Rights Paradigm" into economic, political, and cultural behaviors, redefining the subject of economics as "Triple Self-Organising Men" (as opposed to "Rational Man" or "Behavioral Man").

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• Value Standards: Measure economic health using the "Golden Ratio of Economic Health" and "Energy Efficiency/Energy Consumption Ratio" (GDE), emphasizing human well-being and ecological balance.

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• Goal Management: Within MN, AI will maximize resource efficiency, address the "scarcity problem," balance "universal basic income" with "optimal physical and mental performance," and achieve holistic health for humanity.

Conclusion

Establishing Amorsophia MindsNetworking for the Earthropocene to balance the "Goodall-Musk-Harari Dilemma" enables humanity to reduce costs, empower symbiosis, and achieve ecological and interstellar civilizations. Exploring Mars is worthwhile, but Earth must first be cared for—there is no need to migrate to Mars.

The vision of MN is both a technological challenge and a philosophical opportunity. By bridging the AI bottlenecks and deeply integrating ethics, engineers and philosophers can together create a world rooted in intersubjective symbiosism.

January 8, 2025, Vancouver

附件：《孞聯網公益計劃書（Building the MindsNetworking Philanthropy Plan）》
http://symbiosism.com.cn/9145.html

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