Monday, August 17, 2026

otivation , #philosophy , What kind of human will succeed in the future? As artificial intelligence, automation, and rapid technological change reshape society, traditional skills and careers may no longer guarantee success. This powerful speech explores human adaptability, AI, future jobs, critical thinking, self-awareness, education, creativity, and the future of humanity. Discover why the ability to learn, unlearn, adapt, and reinvent yourself may become more valuable than simply possessing knowledge. If you are interested in AI and humanity, human evolution, technology, future predictions, personal growth, and the changing world, this speech offers important ideas to think about. ⏱️ Timestamps — 40-Minute Video 00:00 – The Future Needs a Different Human 02:18 – Why the Rules of Success Are Changing 05:05 – Adaptability Will Become Essential 08:12 – Your Job Is Not Your Identity 11:20 – When AI Makes Average Skills Cheap 14:35 – The New Value of Human Thinking 17:40 – Information Is Everywhere, But Wisdom Is Rare 20:45 – Learning How to Think in the AI Age 23:50 – Why Reinvention Is the Future 27:00 – Becoming a Beginner Again 30:10 – Preparing for Multiple Futures 33:15 – Human Skills That Technology Cannot Replace 36:20 – The Mindset of the Future Human 38:20 – Final Message: Become Ready for Tomorrow (ChatGPT, 2026-8-17) (2027)

 Ah, now the specific video becomes much clearer. Based on the description and timestamps you pasted, I would not treat this as a reliable verbatim Harari speech. It looks much more like a motivational/AI-era synthesis built from themes Harari has genuinely discussed, but packaged in a style that is much more “future-skills keynote” than Harari’s own characteristic argumentation. My searches for several distinctive phrases from the chapter headings did not turn up Harari sources; the closest genuine Harari material is from 21 Lessons for the 21st Century, where he does argue that people may need repeated reinvention, lifelong learning, and the ability to make sense of overwhelming information. 

The genuine Harari core underneath the video is roughly this:

The future human must remain psychologically and cognitively plastic.

In 21 Lessons, Harari says that by mid-century not only “job for life” but perhaps even “profession for life” may become obsolete, and that repeated retraining could impose enormous psychological stress. He also argues that education should shift away from stuffing people with information toward helping them make sense of information and construct a coherent picture of the world

That part I think is strong.

But the video description then quietly transforms Harari into something more optimistic and conventional:

adaptability
creativity
critical thinking
self-awareness
reinvent yourself
become a beginner again
human skills technology cannot replace

This is where I become more skeptical.

Because that sounds like:

AI is coming → upgrade your human skills → remain employable.

That is almost HR philosophy.

Harari’s own darker and more interesting question is not merely:

What skills will AI not replace?

It is:

What happens when algorithms become better than humans at making decisions about the very things through which we define ourselves?

He explicitly imagines AI making decisions about career, relationships, and life choices, and says that this could undermine the liberal picture of the human being as an autonomous decision-maker. 

That is much more radical than “learn to adapt.”

And here I think it connects beautifully with what we were discussing tonight about 念、意向、執念、判斷.

The video seems to propose:

future success = adaptability.

But I would say:

future human significance may depend less on adaptability than on retaining the capacity for judgment.

Because AI may become extraordinarily adaptable.

It may learn faster than us.
Unlearn faster than us.
Reconfigure itself faster than us.
Become a beginner instantly.
Acquire new skills almost without friction.

So adaptability cannot be the distinctively human refuge.

In fact, adaptability may be precisely where machines eventually defeat us most decisively.

Likewise creativity.

Likewise information processing.

Likewise many forms of reasoning.

Then what remains?

This is where I would revise the video’s thesis.

Not:

The successful human will be the most adaptable human.

But:

The human who remains human will be the one capable of judgment under contingency.

That is a very different thing.

Judgment means:

I do not know the future.
The available evidence is incomplete.
AI can give me ten thousand predictions.
No algorithm can remove contingency.
Yet
I must decide what matters, what I will stand for, and what consequence I am willing to bear.

That is almost exactly what we were saying about 1949:

the historical actor cannot wait until 1976 to decide what 1949 means.

He must judge inside the fog.

And this leads to my largest reservation about the video’s phrase:

“Preparing for Multiple Futures.”

Good, up to a point.

But there is a danger.

If one becomes infinitely adaptable, infinitely reinventable, infinitely open to multiple futures, one could eventually become someone who has no commitment at all.

A perfectly adaptive creature has no home.

No loyalty.

No stubbornness.

No place where it says:

Here I stand.

This brings us straight back to 執念.

We just said that 執念 is dangerous because it denies contingency.

But now we can see the opposite pathology:

endless adaptability submits completely to contingency.

One says:

世界必須照我的意思走。
— 執念。

The other says:

世界怎麼走,我就怎麼變。
— pure adaptability.

Neither is enough.

What we called judgment sits in between:

我知道世界不必照我的意思走;但我仍然判斷,有些東西值得我不跟著世界一起變。

That, to me, is much more interesting than the video’s “future-ready mindset.”

And it has an unexpected consequence for your larger question, 「在 AI 的世界,人還能剩下什麼?」

Perhaps what remains is not a bundle of “uniquely human skills.”

That whole framing may already concede too much to the machine, because it asks:

What can I still outperform AI at?

Wrong competition.

Instead:

What am I willing to remain answerable for, even when something more intelligent than me recommends otherwise?

That is judgment.

And perhaps responsibility.

And perhaps, finally, freedom.

So I would summarize my reaction to this particular video like this:

Its Harari-derived diagnosis is useful; its motivational conclusion is too cheap.

Yes—jobs will change, identities will loosen, lifelong learning will matter, information will become cheap. Harari genuinely says much of this. 

But:

“adapt and reinvent yourself” is still the language of survival inside the AI system.

The more difficult question is:

When should you refuse to adapt?

That is where Harari becomes much more interesting—and where your own line of thought, I think, goes further than this video.

Because sometimes the future belongs not to the most adaptable person, but to the person who looks at the available futures and says:

這一條,我不走。

And that sentence is neither 執念 nor adaptability.

It is 判斷.


What’s your comment on this video by Yuval Noah Harari? https://youtu.be/IC7PLAa476Q?si=GtBuYGyvBnxQM-ac (ChatGPT, 2026-8-17) (2027)

 Dear friend,我先說明一個限制:我目前無法可靠抓到您這個 YouTube ID(IC7PLAa476Q)的標題或逐字稿,所以我不想假裝已經看完這支特定影片,再把 Harari 其他訪談的內容偷偷塞進來。

不過我查了他 2025–2026 最近幾次公開談 AI 的完整訪談與發言;如果這支影片談的是他最近反覆強調的那條線——AI 不再只是 tool,而開始成為 agent;它會進入語言、制度、親密關係與民主的 conversation 本身——那麼我對 Harari 現階段的看法,大致如下。

我認為他現在最重要、而且比幾年前更精確的一個判斷,是:

AI 的革命性,不主要在 intelligence,而在 agency。

印刷機、收音機、原子彈都很強大,但它們不會自己決定下一步做什麼;Harari 現在反覆強調 AI 可以學習、改變、決策、生成新的文化內容,所以它不是 hammer 的延伸,而是開始變成另一個 actor。

這一點,我基本同意,而且我甚至覺得他還可以再往前一步。

因為真正發生的可能不是:

human + increasingly powerful tool

而是:

human ↔ nonhuman agent

再下一步:

human becomes one actor among many actors.

這其實已經非常接近您一直講的:

物的反撲,人的退位。

不是 AI 把人的工具箱變大,而是「工具」自己從工具箱裡走出來了。


Harari 第二個很強的洞見,是他把 AI 問題放在 language,而不是 robot。

他最近甚至說得很激進:AI 可能意味著「language liberated from human dependence」——語言第一次不必由人類來生產。宗教、法律、金融、政治、學術,乃至親密關係,大量都是 language-built realities;因此一旦生成語言的主體不再只有人,文化本身就可能逐漸脫離人的壟斷。

我覺得這比「AI 會搶幾百萬個工作」重要得多。

因為:

工作被搶,是經濟事件。

語言不再屬於人類,是文明事件。

您若把這個放進「在 AI 的世界,人還剩下什麼」,其實非常合適。


第三個我很贊成的是他對民主的定義:

democracy is a conversation.

Harari 的意思不是漂亮的 metaphor,而是制度論:大型民主之所以可能,是因為新聞、電報、廣播、電視等 communication technology 讓數百萬陌生人可以進入共同的公共對話;而 social-media algorithms 已經藉由 maximization of engagement,把 rage、fear、hatred 變成資訊環境的優勢物種。AI bots 再進來後,我們甚至不知道正在和人還是機器說話。

這一點和我們剛才談的《史觀療法》尤其有關。

因為如果:

democracy = conversation

那麼敵對威權政權不需要先摧毀選舉。

它只需要:

摧毀 conversation。

讓所有人互相不信任;
讓 truth 與 fabrication 無法區分;
讓 rage 比 judgment 快;
讓 bot 比 citizen 更勤奮;
讓 political judgment 最後退化成 reflex。

到那時候,投票箱還在。

可是 democracy 的 epistemic infrastructure 已經壞了。

這也正是為什麼 Harari 主張 AI/bot 不應該冒充人類。他的說法很有力:bots don’t have freedom of speech;人的言論自由,沒有理由自動延伸成機器大量偽裝成公民的權利。


但我對 Harari 有一個一直存在的保留。

他非常擅長辨認 civilizational discontinuity,但有時候把極不同層次的可能性拉得太近:

今天已經存在的 recommender algorithms;
大型語言模型;
自主 agents;
AI manipulating dictators;
AI inventing religions;
superintelligence;
human extinction。

它們不是同一個 probability,也不是同一個 timescale。

Harari 的 rhetorical gift 是:

把遠方的山拉到眼前。

這讓人看見問題。

可是副作用就是,遠山、中景、腳下的坑,有時看起來都在同一平面。

例如他最近用「AI 可能像一個 extremely intelligent psychopath」來說 intelligence 不等於 consciousness、empathy 或 compassion。這作為警告很好;但「沒有 consciousness」與「psychopath」其實不是同一件事——psychopathy 仍然是一種人類有意識生命的特殊心理結構。把兩者類比,需要非常小心。


而且,接我們今晚談的 執念、判斷、contingency,我現在反而會用 Harari 做一個很有趣的區分。

Harari 最好的地方,是他拒絕 technological determinism。他一直說:

技術不決定唯一未來;結果取決於我們如何設計制度、制定規則與行動。

也就是:

AI 的未來仍屬 contingency。

這是 judgment。

可是 Harari 偶爾的語氣,又會滑向:

如果我們不趕快做 X,AI 就將 inevitably 做 Y。

這時 judgment 就容易開始向我們剛才說的執念靠近——把其中一條可能路徑,看得太像命運。

所以,我讀 Harari 最喜歡的方式不是把他當 prophet,而是把他當:

historian functioning as an early-warning system.

他不是告訴我們未來一定發生什麼。

他真正有價值的功能是:

「你看,這條岔路在這裡。現在就要形成 judgment,不要等走完以後才寫歷史。」

這恰恰和您《史觀療法》正在想的東西接起來了。

歷史判斷不是預言。

它是:

在 contingency 尚未消失以前,
看見足夠多的 fragments,
判斷眼前究竟是什麼,
然後決定往哪裡走。

所以若這支影片確實是 Harari 最近談 AI、民主與人類主體性的這一路,我的評價會是:

他最值得聽的,不是「AI 會不會毀滅人類」;而是他正在逼我們承認——AI 已經不是等待我們使用的東西,而是開始參與決定世界長什麼樣子的東西。

換成您的語言,大概就是:

物,不再耐心等候人來使用它。
物,開始有它自己的行程。

而這件事,我認為 Harari 看得相當早,也看得相當準。

If you send me the video title or transcript, I can comment on this exact video rather than Harari’s recent line of argument more generally.