Brayden Siew

The Few Who Actually Know

真正懂的那一小撮

November 2025 – June 2026 2025 年 11 月 – 2026 年 6 月

Five judgements I have stopped revisiting. I wrote them down separately across about eight months and only noticed afterwards that they are the same test asked five times: who actually did the thing, and who is merely standing near it.

五个我已经不再重新考虑的判断。它们是在大约八个月里分开写下的, 事后我才发现,它们其实是同一道题问了五遍:到底是谁把事情做出来的,谁只是站在旁边。

1Doers and talkers

1做事的人和说话的人

I don't really have idols. What I have is a filter.

我其实没什么偶像。我有的是一套筛子。

I respect people who go deep on one thing and won't let themselves rest. They're the ones who keep pushing when stopping would be easier, who actually build. When I admire someone, it's almost always for that, not for what they own. The effort is the respectable part. The result is just what effort looks like later.

我尊重那些把一件事做到底、不肯让自己歇下来的人:在停下来更轻松的时候还在往前推、真正 在动手做的人。我佩服一个人,几乎总是因为这个,而不是因为他拥有什么。值得敬重的是那份付出。 结果,不过是付出在后来的样子。

And I have no patience for the opposite. People who talk big and do nothing. People who brag, who claim to know something and then fold the second you actually ask them about it. Saying isn't doing. I trust what someone has built, never what they say they could build.

对相反的那种人,我一点耐心都没有。说得天花乱坠、却什么都不做的人。爱吹的人,张口说自己懂, 你一认真追问就瞬间露馅的人。说,不等于做。我信一个人做出来的东西,绝不信他嘴上说自己能 做出什么。

It shows up in small things too. I never liked generic awards: "best in this subject," handed out so widely that everyone goes home with one. I'd rather get nothing than get the same thing as everyone else. If it isn't the one nobody else got, it doesn't really mean anything to me.

这在小事上也看得出来。我从来不喜欢那种泛泛的奖:「某科最佳」之类,发得满天飞,人人都能 捧一个回家。我宁可什么都拿不到,也不要跟所有人一样的东西。如果它不是别人都没拿到的那一个, 对我来说就没什么意义。

2The academic world

2学术圈

I'll probably take some heat for this one. I don't love the academic world.

这一条大概会招来一些骂。我不太喜欢学术圈。

From what I can see, most papers exist because someone had to write a paper. The output is the point, not the truth. So you get a mountain of work that doesn't really say anything. Written to be filed, cited a few times, and forgotten.

据我所见,大多数论文之所以存在,是因为有人不得不写一篇论文。重点是产出,而不是真相。 于是你看到一座小山似的成果,其实什么都没说:写出来就为了归档、被引用几次,然后被忘掉。

The real share is small. The work that actually moved things, transformers and the ideas everything is built on now, mostly came out of labs and companies, not the journal grind. When the goal is to discover something true, you get something true. When the goal is to have written a paper, you get a paper.

真正起作用的那一小部分其实很少。真正推动了事情的东西,比如 Transformer,还有如今一切 赖以建立的那些想法,大多出自实验室和公司,不是期刊那套流水线。当目标是发现某个真相, 你就会得到真相;当目标是「写出过一篇论文」,你得到的就只是一篇论文。

I'm not against research. I'm against doing things for the sake of doing them. If a piece of work isn't honestly trying to be right, it's just a chore with a citation attached. I'd rather build something that works than write something that gets shelved.

我不反对研究。我反对的是为做而做。如果一份工作不是真心想把事情做对,那它不过是一件挂着 引用的杂活。比起写一份最后被束之高阁的东西,我更想做一个真能跑起来的东西。

3Order of operations

3先后次序

The people who talk most about wanting to be rich are, as far as I can tell, the ones who build the least.

就我看到的,把「想变有钱」挂在嘴上最多的那批人,恰恰是做出东西最少的那批人。

I have watched people decide they want to be the richest person in the world and then do nothing at all. The money was the goal, so there was never a thing to build, only a result to want. Elon Musk did not set out to get rich. He set out to build things that mattered and the money arrived afterwards. The order is not a detail.

我见过一些人,下定决心要做世界首富,然后什么也不做。钱是目标,所以从头到尾没有一件 要做的东西,只有一个想要的结果。Elon Musk 一开始并不是冲着发财去的。 他是冲着做出重要的东西去的,钱是后来才到的。这个先后次序,不是细节。

What the ones who did get good seem to share is not patience, which is what everybody claims afterwards. It is a willingness to take the harder version when an easier one was sitting right there. That is a less flattering trait and a more reliable one, and it is the only part of this I would bet on.

而那些真做出成绩的人,共同点并不是「有耐心」,事后大家都爱这么说。 共同点是:轻松的版本就摆在眼前,他们偏偏去选难的那个。 这个特质没那么好听,但可靠得多,也是这一条里我唯一愿意押注的部分。

4What I pay attention to

4我都在看些什么

I learn by watching, not reading. I know that's not the respectable answer.

我靠看来学,不靠读。我知道这不是个体面的答案。

I don't read much. I know reading is powerful, but for the way my brain works, an hour of a real conversation does more for me than an hour of a book I'll have forgotten by morning. So I watch, mostly long podcasts and shows on YouTube. Sam Altman, Dario Amodei, Demis Hassabis, Jensen Huang, Lex Fridman, Joe Rogan, The Diary of a CEO, Cleo Abram. I'd rather hear someone who actually built the thing talk for two hours than read a tidy summary of it.

我读得不多。我知道阅读很有力量,但以我大脑的运作方式,一个小时的真实对话,对我的作用 胜过一个小时、一本我到第二天早上就忘光的书。所以我看,大多是 YouTube 上的长播客和访谈 节目。Sam Altman、Dario Amodei、Demis Hassabis、Jensen Huang、Lex Fridman、Joe Rogan、 The Diary of a CEO、Cleo Abram。比起读一份工整的摘要,我更愿意听一个真正把那东西做出来的人, 聊上两个小时。

On taste, my test is simple: a site is good if I want to stay on it. Linear, Stripe, Claude, MiniMax. They pull you in and don't try too hard. Most AI-generated sites do the opposite. You can feel the sameness, and you leave. That feeling is most of why I cared about getting this one right.

说到品味,我的判断标准很简单:一个网站好不好,就看我想不想留在上面。Linear、Stripe、Claude、 MiniMax。它们能把你吸进去,又不显得用力过猛。大多数 AI 生成的网站正相反。你能感觉到那股 千篇一律,然后就走了。我之所以在意把这个网站做对,多半就是因为那种感觉。

And one idea I keep coming back to, from Andrej Karpathy: 10,000 hours. You drift, you procrastinate, you pick up a little of this and a little of that. But if you actually put the hours into one thing, you come out the other side an expert. I believe that more than I believe in talent.

还有一个我反复回想的说法,来自 Andrej Karpathy:一万小时。你会走神、会拖延、东学一点 西学一点。但只要你真把时间砸进一件事里,从另一头出来时,你就是个专家了。比起天赋, 我更信这个。

5Markets

5市场

I trade, but I want to be honest about what that means right now: mostly crypto, some equities, and mostly on paper, not real money.

我做交易,但现在这到底是什么状态,我想老实说清楚:主要是加密货币,也碰一点股票,而且大多 是在模拟盘上跑,不是真金白银。

I have a folder of strategies and I'm still experimenting. I let AI generate and test them, watch what survives, kill what doesn't. I wouldn't call myself a quant yet. That word has to be earned, and I haven't earned it. What there is of a record so far is on the portfolio page, wins and drawdowns both.

我有一整个文件夹的策略,还在不停试。我让 AI 去生成、去测,看哪些活得下来,把不行的淘汰掉。 我还不会管自己叫「量化」。这个词得靠本事挣来,而我还没挣到。到目前为止算得上记录的东西, 都在持仓与交易记录那一页,赚的和回撤都在。

What I do have is a view. The market is a casino, especially the secondary market. Most of what moves it is noise; something like ninety percent is sentiment, people following the crowd, and a thin slice is the few who actually know something. You never really know what it'll do next, and anyone who tells you otherwise is selling something.

我有的是一个看法。市场就是个赌场,尤其是二级市场。推动它的大多是噪音;大概九成是情绪, 是跟着人群走的人,只有薄薄一层,是真正懂点门道的少数人。你永远没法真正知道它下一步会怎么走, 谁要是跟你说他知道,那他多半是在推销什么。

So the edge, if there is one, isn't a magic indicator. It's a sharp mind and first principles, actually understanding the thing instead of reacting to it. That's the real reason markets interest me at all. They're a clean, brutal test of whether your reasoning is right. The money is just the scoreboard.

所以优势,如果真有的话,不是什么神奇的指标。是一颗清醒的脑子和第一性原理:真正搞懂 这件事,而不是被它牵着反应。这才是市场真正吸引我的地方。它是一场干净又残酷的测验,专门测 你的推理对不对。钱,只是那块记分牌而已。