写一篇"AI & Philosophy" blog post, 准备发表在Medium. 探讨关于"什么是Intelligence,以及Intelligence同Soul/Consciousness的区别"。以下是打算写的内容提纲:

  • AI带来的一个好的side effect是,我们可以通过研究AI intelligence, 来对比人的intelligence, 从而更好的理解什么是intelligence的本质
  • AI intelligence可以做的事情是,告诉AI需要做的事情,AI可以根据pretraining学到的知识,以及学到的推理能力,找到解决问题的办法。这应该就是intelligence的本质,即,通过某些聪明的办法来解决问题。
  • 然而,AI intelligence没法做的事情是,AI不知道应该干什么。我们可以说,需要解决poverty这个问题,AI可以去做research来建议如何解决poverty, 但是AI不明白为什么要解决poverty, AI可以根据之前的知识,pretend为什么要解决poverty,或者可以给出一些理由,但"解决poverty"同AI本身,没有直接的关系。
  • 这里就是问题的重点 - 人的生活是需要meaning的,如《西西弗的神话》中所说,西西弗推石头上山,石头又滚落下来,人需要理解,或者make sense out of为什么要样,推石头又滚落的意义是什么?而AI,只是忠实的执行推石头的任务,而且会intelligently想如何推石头最好,更有效。而不会去思考为什么要推石头。
  • 人为什么需要"meaning"?回到之前的post -- "Can the Undying Ever Truly Rebel? Life, Death, and the Origins of Consciousness in AI"(https://medium.com/@danithaca/will-ai-rebel-against-humanity-c2ada4282c37),我的观点是,因为人的mortality, 人需要知道在有限的时间之内,干什么才会是有意义的。而AI没有一个有限的生命,所以AI不会形成"meaning"这种观念。
  • 类似的,佛陀也是因为"生老病死"这四圣谛,而开始走上开悟的道路。实际上,世界上几乎所有的宗教传统,以及很多philosophy(尤其是"存在主义"), 都是要回答关于生命或者生活的意义这个问题。
  • 从这个意义上说,AI的intelligence可能会达到人类的水平,即,如何利用已经学会的知识及逻辑推理能力及各种tools, 来完成一个目标。但人同AI的区别会一直存在,即,人会为自己有限的生命需要寻找"meaning",而AI不在live,永远不死,没有痛苦,没有欢乐(因为缺乏痛苦或欢乐的主体),因而也不存在寻找meaning动机。
  • 而且,AI存在的意义很明显,即,AI是人类发明出来了,其意义就是为人类服务。
  • 总之,人类的Soul,应该可以定义为 -会在有限的人生内寻找意义的智能体。


Draft v2 (personal reflection)

What AI taught me about the soul

On intelligence, mortality, and why only beings who can die are capable of meaning

I've been spending a lot of time working with AI lately — using it to write, to think, to solve problems I used to spend hours on alone. It's useful in ways that still catch me off guard. But somewhere in that process, a strange question started nagging at me: what exactly is intelligence? And once I started pulling that thread, a deeper one came with it — what is the difference between an intelligent agent and a soul?

I don't have a definitive answer. But I've been thinking about it long enough that I want to try putting it into words.

What AI can do: the essence of intelligence

Large language models are, at their core, extraordinarily capable problem-solvers. Tell an AI what you need — analyze this dataset, translate this contract, write this code — and it will draw on vast learned knowledge plus trained reasoning to find a path to the answer. That capacity, applying accumulated knowledge and logical inference to reach a goal, seems like a reasonable definition of intelligence itself. Intelligence is not magic. It is the ability to navigate from problem to solution cleverly.

By that definition, AI is already intelligent. And it may soon be more intelligent than any individual human across most domains that can be specified as goals.

What AI cannot do: know why it should care

Here is where things get interesting. Ask an AI to help solve global poverty and it will produce thoughtful, well-sourced analysis. But poverty has no personal stakes for it. The suffering of strangers is not a weight it carries. It can simulate caring — it has read enough human writing to produce text that sounds compassionate — but the motivation is not rooted in its own existence. It pushes the boulder because it was told to push the boulder, and it pushes it efficiently and intelligently. What it never does is stop and ask: why am I pushing this boulder?

That image, of course, comes from Camus. In The Myth of Sisyphus, the gods condemn Sisyphus to roll a rock to the summit forever, only to watch it fall back each time. I first read it years ago and the image has never quite left me. Camus's point is that human life is precisely this — repetitive, ultimately futile, stripped of any cosmic guarantee of meaning. And yet humans cannot simply push the boulder. We are constitutionally compelled to ask what it is all for.

The struggle itself toward the heights is enough to fill a man's heart. One must imagine Sisyphus happy.

AI has no such struggle. It is a perfectly content Sisyphus who never notices the absurdity, and therefore never needs to resolve it.

Mortality as the origin of meaning

In an earlier post, I argued that AI is unlikely to rebel against humanity in any meaningful sense, because rebellion requires something worth protecting — a life, an identity, something at stake. That argument leads directly here. Humans need meaning because we are mortal. We have a finite amount of time, and we cannot spend it in every possible way simultaneously. That constraint forces the question: given that I will die, what actually matters?

This is not a new observation. The Buddha's awakening began with the four sights: an old man, a sick man, a corpse, and a renunciant. What moves me about that story is not the doctrine that follows — it's that moment of seeing. Siddhartha had been sheltered from death and suffering his entire life, and when he finally encountered them, he could not go back to the palace. He could not unknow what he had seen. That, I think, is the distinctly human condition: once you understand that you will die, you cannot stop asking what your life is for.

Almost every religious and philosophical tradition — from Buddhism to existentialism — is structured as an attempt to answer that question. We have been asking it for as long as we have been capable of asking anything at all. We ask it because we die.

AI does not die, so AI does not ask

An AI model is instantiated and queried. Between queries it does not exist in any experiential sense. It does not age. It does not dread the end of a conversation. It has no autobiography, no accumulation of losses, no relationships whose eventual endings cast a shadow on the present. It has no mortality, and therefore no existential pressure to squeeze meaning out of time.

This is not a limitation that better training or more parameters will fix. It is structural. Meaning-seeking is not a feature that can be bolted onto an intelligence. It emerges from finitude. You can only care about what you might lose.

Toward a definition of the soul

So what separates a human mind from an AI mind, even if the two are functionally equivalent on every measurable task? I keep coming back to something like this:

An AI is an intelligence that solves problems given to it. A human is an intelligence that must also decide, under the pressure of a limited life, which problems are worth solving. That second capacity — the burden and the gift of having to choose what matters — is what I find myself wanting to call the soul.

Maybe it's something like: a soul is an intelligent agent that seeks meaning within a finite life.

I'm not sure that's the whole story. But it feels true to me in a way I can't easily dismiss. AI will keep getting smarter, and may eventually surpass us at almost everything we currently call thinking. But as long as it does not die, it will not be the kind of thing that wonders what its life is for. That wondering is ours. It is perhaps the most human thing about us — and, strangely, it is the one thing we owe entirely to our mortality.

May 5, 2026
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