muming

AI 时代，当计算能力快速商品化之后，下一个重要资产可能不是更多机器数据，而是现实世界中最复杂、最难获取的数据：人的身体。

AI时代，当计算能力快速商品化之后，下一个重要资产可能不是更多机器数据，而是现实世界中最复杂、最难获取的数据：人的身体。

We talk about aging as a process of losing things: collagen, fat, elasticity, strength. But I’m becoming equally interested in our patterns of movement and habitual tension. I don’t want a face that never wrinkles. I want a face that can move freely.

The body doesn’t move one muscle at a time. It moves through relationships: tension, compensation, coordination, release. The more I train, the less interested I become in isolated muscles. I’m more interested in how the whole system organizes movement.

For years, I thought training meant learning how to activate muscles. Yoga and Pilates taught me something more difficult: Knowing when not to use them. Strength is a capacity. Relaxation is also a skill. I’m beginning to wonder how much of this applies to the face.

I used to think my full cheeks were a sign of abundant collagen. Then I noticed how my face changes when I smile. The cheeks bunch up, the eyes tighten, and everything seems to compete for space. Maybe I was confusing fullness with freedom of movement.

Pilates taught me something unexpected: Not every movement problem comes from weak muscles. Sometimes the problem is unnecessary effort, poor coordination, or muscles doing work that isn’t theirs. Now I’m beginning to observe my face through the same lens.

A face can look youthful at rest yet become tense and crowded in motion. Another face may have lost its fullness, yet smile with remarkable ease. I’m beginning to realize that looking young and moving naturally are two very different things.

今天的背部训练，留意到肩伸、肩屈时肩胛骨如何保持稳定，尤其不依靠后缩肩胛来完成肩屈。 我蛮喜欢北极星普拉提对骨骼序列的重视，先看骨头排列，再谈肌肉发力；其实在看斐登奎斯的过程中也看到相通的思路：有时需要让神经系统学会新的路径，位置不对，练得越多，旧习惯可能越牢，错误的着力和代偿得不偿失。

A yoga pose is like a market position. At first, every second feels endless, just as every price tick tests your nerves. Real steadiness comes when you stop fighting your body — and stop fighting the position. Not discipline. No urge to escape.

Maybe what makes us human is precisely our foolishness. The more we allow it, the more real we become. The harder we try to appear intelligent, the more cracks begin to show. AI may become more perfect. Humans can become more human.

Money can buy freedom. But managing money for years is not necessarily a free life. You have to watch, wait, miss things, be wrong, revise, and sometimes do nothing while everything around you moves. Wanting wealth and wanting to manage capital are not the same desire.

I don’t really believe in investment masters. You can study Buffett. You can study anyone. But concentration is not wisdom by itself, and diversification is not cowardice. The real question is simpler: What do you actually know, and what can you afford to be wrong about?

At some point, an account can stop expressing your view of the market and start expressing your daily emotions. Nothing moves: impatience. It rises: fear. You sold too early: regret. You missed it: urgency. The trades remain financial. Their origin may no longer be.

Sometimes an investor reads the company correctly and still fails to earn from that judgment. Buy at 42. Sell at 51. Buy back at 48. Sell again at 55. Watch it reach 90. The problem was never seeing it. It was staying with what was seen.

The dangerous part of frequent trading is that every trade can have a reason. Valuation. Momentum. Rotation. News. Risk. Each decision makes sense on its own. The problem appears later, when all those reasonable trades no longer add up to one coherent judgment.

People are not born frequent traders. It usually develops slowly. A few successful moves teach you that action creates opportunity. Then waiting starts to feel wasteful. Eventually, doing nothing becomes harder than making a trade.

I wrote about a small question: How does money you never earned slowly acquire the weight of money you lost? And when does that nonexistent loss begin asking real money to answer for it? substack.com/home/post/p-...

A trade can be closed financially and still remain open psychologically. Holdings: zero. Cash returned. Realized P&L recorded. But if the next dollar still has to repair what you wish had happened before, the previous trade has not fully ended.

After you sell at $100, $120 is no longer just $120. For someone else, it is simply the current price. For you, it may still be “20% above where I sold.” The old trade is gone. The old reference point often isn’t.

A missed gain can become psychological debt. The market does not owe you that money. The next stock does not owe you that money. But if you start trying to “make it back,” an imaginary loss begins redirecting real capital.

Chinese investors have a phrase: 卖飞 — mài fēi. You sell a stock, often at a profit, and then watch it keep rising without you. The strange part is that money you never earned can slowly begin to feel like money you lost.

You sold. The stock kept rising. The real risk is not the missed upside, but letting a later price move rewrite an earlier decision. Then the next trade is no longer fully independent.

The model is only one component of an agent system. Context. Memory. Tools. Permissions. State. Recovery. Evaluation. As frontier models become more interchangeable, the intelligence around the model becomes increasingly important. The product is not the model.

AI is making execution dramatically cheaper. But judgment is not getting cheaper at the same rate. That changes the bottleneck. The scarce resource in an agentic organization may not be the ability to do more. It may be the ability to decide what should be done, what should be trusted.

AI agents are not becoming better tools. They’re becoming organizational participants. The real challenge is no longer just giving them more intelligence. It’s giving them identity, memory, permissions, standards, and a way to understand how the organization makes decisions.

When I buy something for ten years, I am not asking: “Will this company keep growing?” I am asking: What would have to remain true for this bet to keep working? Long-term investing is often less about predicting change than identifying what is unlikely to change.

A difficult decision is not necessarily an important decision. We often confuse difficulty with value because we were trained in systems where harder meant better. Sometimes the highest-leverage move is not to overcome your weakness. It is to stop building your life around it.

AI is making answers abundant. The scarce thing is no longer knowing more. It is knowing what is worth asking, what is worth believing, and what is worth acting on.

A good life may not be about fitting yourself into the world. It may begin with discovering the rhythm, space, and pace your own system requires—and building everything else around that. The world does not have to be your reference point.

You do not have to wait until you are exhausted to choose yourself. You do not need a crisis, an argument, or a breakdown to justify leaving the room. Sometimes the healthiest boundary is simply: I need my own time now.

I used to think love meant giving people more of my time. Now I think it may mean something else: protecting enough of myself that when I meet you, I can actually be present. A whole hour can be more loving than an exhausted day.

Solitude is not always recovery from life. For some people, solitude is the environment in which life works best. Relationships, work, and social life are not the default state. They are things we enter from a stable center.

One of the most important things you can learn is your own energy structure. Not what should make you happy. Not how other people live. But what actually restores you, what drains you, and what conditions allow you to remain fully yourself.

“Buy when no one is interested” sounds like an investing principle. But it may actually be a life experience. You have to know what it feels like to be ignored, unvalidated, and early — and still keep moving. Only then can you recognize silence without mistaking it for failure.

I am learning to leave some space for the unknown. Not the helpless kind of uncertainty. The kind that says: I have chosen a direction, but I do not need to control the form of the answer. Maybe the future should contain something I am still incapable of imagining.

I don’t need to know exactly what is waiting for me. I only need to keep answering the next honest question: Do I still believe this? Do I still want to build it? Is this still my direction? Is this risk still worth taking? A life can be built one truthful decision at a time.

Sometimes the hardest part of changing your life is that the old world stops fitting before the new one has appeared. You lose certainty before you gain direction. There is a period where nothing feels fully yours yet. Maybe that is not failure. Maybe that is what transition actually feels like.

I increasingly think a person can learn from how good states are governed. Diversify dependencies. Protect critical infrastructure. Accumulate reserves. Keep borders selective but open. Avoid irreversible bets. Preserve the right to change direction. A life can have foreign policy too.

The deepest form of sovereignty is not isolation. It is having enough value, resilience, and alternatives that cooperation remains a choice. Countries need this. Companies need this. People do too.

Singapore does not seem obsessed with owning every capability. It asks a different question: What must we control, what can we import, and where must we remain indispensable? That is also a useful question for an individual building sovereignty.

Good investing is not about predicting everything. It is about preserving enough capital, optionality, and judgment to survive being wrong. Good governance is surprisingly similar. And perhaps so is a well-designed life.

A small country cannot afford the illusion of self-sufficiency. Singapore’s strength comes partly from accepting its constraints early, then building leverage around them. Personal sovereignty may begin the same way: not by denying weakness, but by designing around it.

Singapore often feels less like a country trying to win every game, and more like an investor deciding which games are worth entering. It does not need to be the strongest player. It needs to keep choosing the right table.

The mature question is not simply: Did I make money? It is: What exactly did this money prove? What did it fail to prove? Which game did I win? And can the strategy that won this game survive the next one?

Lack of money does not always prove lack of value. Someone may create value without owning the distribution, the asset, the channel, or the right to capture the return. Sometimes the real gap is not value creation, but value capture.

A successful strategy can become dangerous when wealth protects it from correction. Control may build a company and destroy a family. Aggression may win a market and empty a life. A method that works in one domain can become violence in another.

Money is feedback, not a final judgment. It can tell you that a product is wanted, an asset was repriced, or a system can scale. It cannot tell you whether you are free, whether you can love, or whether the life you built is worth living.

Poverty can also become a shield. “I cannot afford it” may be true. But sometimes it protects a person from saying: I am afraid. I do not want this. I do not know how. I may fail even if the money appears.

Wealth can become a shield. It can buy distance, obedience, praise, speed, and the ability to leave before discomfort becomes truth. Money does not create every fear. Sometimes it simply makes those fears easier to avoid forever.