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微趨勢,新變量——“因應AI猛進的不確定性及三大瓶頸Microtrends國際研討會”側記 2025-01-12 23:41:23

微趨勢,新變量

——“因應AI猛進的不確定性及三大瓶頸Microtrends國際研討會”側記

 

 

2025年新年伊始,晴空萬里,在英屬不列巔哥倫比亞大學(UBC)小小教研室里,舉辦了一場“因應AI猛進的不確定性及三大瓶頸Microtrends國際研討會”。

 

研討會由UBC區塊鏈專家王澤華教授主持,全球共生學會的錢宏教授作題為《Earthropocene: Amorsophia MindsNetworking(地球世:愛之智慧孞聯網)》拋磚引玉式報告。這份報告是基於近年來AI迅猛發展的狀況和錢宏教授新近出版的《SYMBIOSISM 共生: The Mind Power to Agree on An Innovative Life Style 一種約定創新生活方式的精神力量》的觀點形成。來自中國和加拿大的學者出席了這次UBC微趨勢閉門會議。

 

 

與會者就如何積極面對、認知和適應AI帶來的不確定性,對工商文明以來的生產、生活方式及職場的衝擊,乃至對軸心時代以來人類“以Subject自居而以他者和世界萬物為Object”的自我中心主義及其智慧之愛的全新挑戰,以及AI要真正進入社會生活自身存在的“三大瓶頸”,各抒己見暢所欲言。特別是,與會者對繼人類建構起了互聯網(解決特權、壟斷、操縱的“信息不對稱”)和物聯網(解決萬物感應互聯自動化)之後,提出建構孞聯網(解決無分身份的生命孞念交互獎抑機制)的原由和動因,以及技術、倫理條件,提出了寶貴建議。

 

錢宏教授則重點闡釋了他的三個“勢在必行”和兩個“現實主張”:

 

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!

 

那麼,摒棄人類以Subject自居,將他者和世間萬物視為Object的自我中心主義,樹立Intersubjective Symbiosism的觀念,勢在必行!

 

那麼,‪在AI猛進的不確定性和“三大瓶頸”顯現的今天,‪建立地球世愛之智慧孞聯網,平衡“古道爾-馬斯克-赫拉利的AI之憂”,人類可以“降本賦能,間道共生”,實現地球生態文明,乃至星際文明,勢在必行!

 

就是說,人類應該也可以先辦好地球上的事情,而不必移民火星,但可以探索傲遊火星,乃至建構星際文明的可能方式!

 

於是,三個勢在必行,形成了我們的兩個現實主張,第一,是以赤子之心,張開雙臂擁抱AI猛進中奇妙無窮的不確定性;第二,是呼喚不無驕傲的工程師與謙卑低調的哲學家心手相握,繼續AI攻堅克難,一道建構愛之智慧孞聯網(Amorsophia MindsNetworking),迎接Earthropocene的到來!

 

 

早在1970年新春,馬克·佩恩的《微趨勢Microtrends》就出版了。佩恩在《Microtrends》中闡述了一種理解我們生活方式的新方式。與人們趨之若鶩的宏大趨勢相比,微趨勢“是與我們直觀印象相反的趨勢,這些趨勢正在塑造着馬上就要出現在我們面前的明天。”當時,佩恩利用一些現有的最佳數據,確定了宗教、休閒、政治和家庭生活領域中70多個看似不起眼的卻正在改變我們生活方式的微趨勢。因為所有追求“確定性”大趨勢(以1982年奈斯比特出版的《Megatrends: Ten New Directions Transforming Our Lives》為代表),都是存量。而真正值得關注的可能是非常微少的人新近“湧現”的孞念,賦有這種孞念的微少部分人,在大多數人視野和注意力之外,卻正在凝結成新共識、正在採取的行動方式、正在進入生活處境的“Microtrends(微趨勢)”,完全可能成為我們理解這個世界至關重要的臻美新變量!

 

古語有言,“風起於青萍之末”。作為一名大學生,我相孞,這場“因應AI猛進的不確定性及三大瓶頸Microtrends國際研討會”,雖然是一次小型的閉門會議,但它也呈現出“一種理解我們生活方式的新思維、新價值、新方式”Microtrends!

 


與會者認為,AI,特別是人形機器人,如果取代了人類多數標準化、複製化、集約化的工作和職業,必定意味着經濟學上的“稀缺性問題”得到基本解決,“全民基本收入”(Unconditional Basic Income)的夢想,也就成為現實。而且,更重要的是,沒有了稀缺性,資本壟斷和權力操縱,以及資本、權力沆瀣一氣的價值,將隨之消失,物慾特權也就沒有意義。人們的生活眼界,會變得更加宏闊深遠,富有個性化、獨創性、小即美的精神訴求,將成為人類社會的生活基調。所以,一定要相孞人的適應能力——愛之智慧的生命自組織連接平衡力,不用擔心傳統產業和職業被AI和人形機器取代!試問,工業革命砸掉了多少傳統“飯碗”,但是人類整體生活水平是提高了,豐富多彩了?還倒退了,單調乏味了?顯然是幾何級數地提高了和更加豐富多彩了!

 

標準化、複製化、集約化是工業革命或工業文明,在生產生活上帶來高效和極大的物質豐富(300年間創造的財富是過去所有世代的總和),所以手工業、傳統農業不堪一擊。但是,正如工業文明的發展,依然離不開少數非職業人士在科技、人文、藝術和哲學上的創造性工作。那麼AI時代呢?AI除了取代標準化、複製化、集約化的勞動,還將取代部分創造性的工作,但是,正如王教授所說真正創造性工作,AI是不可能取代的,甚至部分“非標準的手工藝”活也不能取代。

 

所以,問題不在AI會不會取代人的工作或職業“飯碗”,而在於今天的AI大佬們,企業家、工程師和倫理學、社會學家們擔心的AI猛進的“不確定性”和AI自身發展的“瓶頸”問題帶的盲目而惡性競爭。而這就是,我們繼人類建構起了互聯網(解決特權、壟斷、操縱的“信息不對稱”)和物聯網(解決萬物感應互聯自動化)之後,提出建構孞聯網(解決無分身份的生命孞念交互獎抑機制)的原由和動因。


 

最後,王澤華教授還從工程的角度和數學的角度,分析回答了與會者關於當AI用光了網絡公開信息之後,大概率要挖掘個人正在產生的新信息時,怎麼辦的問題。

 

短短一個半小時的閉門會議,氣氛熱烈,孞心滿滿,一致認為:“共生是正在進行的未來,AI必定造福人類”。

 

(學生耶米粒自UBC報道,攝影:曹建平)





Microtrends, New Variables

—Notes from the “International Symposium on Addressing the Uncertainties and Three Major Bottlenecks of AI's Rapid Advancement”

At the beginning of 2025, under clear blue skies, a small-scale yet impactful symposium titled “Addressing the Uncertainties and Three Major Bottlenecks of AI's Rapid Advancement” was held in a modest seminar room at the University of British Columbia (UBC).

The symposium was chaired by UBC blockchain expert Professor Zehua Wang, with Professor Hong Qian of the Global Symbiosis Society delivering the keynote address, Earthropocene: Amorsophia MindsNetworking. The presentation was based on insights from Professor Qian’s recent book, SYMBIOSISM: The Mind Power to Agree on An Innovative Life Style. Scholars from China and Canada participated in this closed-door symposium.

Key Discussions

Participants engaged in lively discussions on how to recognize, adapt to, and actively address the uncertainties brought by AI’s rapid development. Topics included the impact of AI on production and lifestyle paradigms established since the Industrial Revolution, its implications for workplaces, and the challenges AI poses to humanity’s longstanding self-centric perspective of seeing itself as the Subject and everything else as the Object.

The symposium also explored the “three major bottlenecks” AI faces in fully integrating into social life:

  1. The extreme asymmetry between energy consumption and efficiency;

  2. The inherent shortcomings of systems thinking in information sources, channels, and outcomes;

  3. The limitations of current AI methods, which rely on data, algorithms, computational power, and neural networks but fail to achieve the depth of wisdom, love, and consciousness embodied in Amorsophia.

A significant focus of the discussion was the rationale and prerequisites for constructing a “MindsNetworking” (孞聯網). Following the Internet’s resolution of information asymmetry and the Internet of Things’ (IoT) automation of interconnected objects, MindsNetworking aims to establish an interaction mechanism that rewards or restrains based on intent, eliminating identity-based biases and fostering balanced coexistence between life and AI.

Three Imperatives and Two Practical Proposals

Professor Qian elaborated on three imperatives and two practical proposals:

  1. To move from the symbiotic origins of the Naturaropocene, surpass the symbiotic baseline of the Anthropocene, and embrace the symbiotic soul of the Earthropocene is imperative.

  2. To abandon the self-centric worldview of Subject and Object and adopt the philosophy of Intersubjective Symbiosism is imperative.

  3. To construct the Amorsophia MindsNetworking to balance the AI concerns raised by thinkers like Goodall, Musk, and Harari and to foster ecological and interstellar civilizations is imperative.

From these imperatives arise two proposals:

  1. Embrace the wonders and uncertainties of AI’s rapid progress with an open heart;

  2. Encourage engineers and philosophers to join hands, overcoming challenges together to construct the Amorsophia MindsNetworking and usher in the Earthropocene era.

The Power of Microtrends

As early as 1970, Mark Penn’s Microtrends highlighted the significance of small, emerging variables in shaping the future. The symposium echoed this idea, emphasizing that real change often stems not from grand trends but from the “microtrends” where new consensus and innovative actions are forming.

Professor Zehua Wang also addressed a pressing technical question: what happens when AI exhausts publicly available information online and begins mining real-time personal data? His insights from both engineering and mathematical perspectives offered valuable guidance for future considerations.

The ancient saying goes, “A gale arises from the edge of a tiny reed.” As a university student, I found the UBC International Symposium on Addressing the Uncertainties and Three Major Bottlenecks of AI's Rapid Development deeply inspiring. Although it was a small, closed-door event, it embodied a new way of understanding our lifestyle through new thinking and new values—Microtrends!

The Future of Work and the Role of Artificial Intelligence

The consensus among the participants was clear: If AI, particularly humanoid robots, can replace most standardized, replicable, and intensive jobs, it will fundamentally solve the economic problem of resource scarcity. This breakthrough would bring the dream of Universal Basic Income (UBI) closer to reality.

More significantly, once scarcity ceases to be an issue, entrenched systems of capital monopoly, power manipulation, and their collusion will lose their relevance. Material privilege will no longer hold meaning. People's perspectives on life will expand beyond material accumulation, prioritizing individuality, creativity, and the philosophy of “small is beautiful.” This spiritual pursuit is poised to shape the new framework of human society.

From this perspective, we must embrace humanity’s innate adaptability—the self-organizing and outward-balancing power endowed with Amorsophia. There is no need to fear that traditional industries and jobs will be replaced by AI and humanoid robots. Consider the Industrial Revolution: it disrupted countless traditional “rice bowls,” yet did it lead to societal regression or monotony? On the contrary, it dramatically improved overall living standards and brought vibrancy and diversity to human life.

Standardization vs. Creativity: Lessons from the Industrial Revolution

The Industrial Revolution’s advances in standardization, replication, and intensification significantly boosted productivity and material abundance. In just 300 years, it created more wealth than all prior generations combined. However, traditional crafts and agriculture were rendered vulnerable. Despite this, the Industrial Revolution still relied on a minority of individuals engaged in creative work in science, humanities, arts, and philosophy.

What about the AI era? AI will undoubtedly replace standardized, replicable, and intensive labor while also taking over some creative tasks. Yet, as Professor Zehua Wang pointed out, true creativity cannot be replaced by AI. Even certain non-standardized artisan crafts will remain irreplaceable.

The Real Challenge

The real issue is not whether AI will replace certain human jobs, but rather the uncertainties of AI's rapid development and the bottlenecks in its evolution, which may lead to blind and harmful competition. These concerns are shared by today’s AI entrepreneurs, engineers, politicians, and ethicists.

This is why, following the construction of the Internet (to address “information asymmetry” caused by privilege, monopoly, and manipulation) and the Internet of Things (to automate interconnectivity among objects), humanity must now propose the creation of MindsNetworking. This network aims to address the problem of establishing symbiotic mechanisms of reward and restraint for cross-entity intent interactions.

Final Reflections

Finally, Professor Zehua Wang analyzed and addressed a pressing question from both engineering and mathematical perspectives: What happens when AI exhausts all publicly available information online and begins mining real-time, personally generated data?

In just ninety minutes, this vibrant and idea-rich closed-door symposium concluded with one shared belief: “Symbiosis is the future in progress, and AI will undoubtedly benefit humanity.”

(Report by Yemili, a UBC student; Photography by Jianping Cao)








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