早期

Paul Graham 2020-10-01

早期

2020年10月

阻碍人们做出伟大工作的最大因素之一,就是害怕做出平庸的东西。这种恐惧并非没有道理。许多伟大的项目在早期阶段都会显得不太令人印象深刻,即使对它们的创造者来说也是如此。你必须经历这个阶段才能达到那之后更伟大的工作。但许多人没有做到。大多数人甚至没有达到做出让自己感到尴尬的成果的阶段,更不用说继续前进了。他们太害怕了,甚至不敢开始。

想象一下,如果我们能够消除对做出平庸之物的恐惧。想象一下我们能够多做出多少成果。

有没有希望消除这种恐惧?我认为有。我认为这里起作用的习惯并不深。

创造新事物对我们这个物种来说本身就是一件新事物。这件事一直都在发生,但在过去的几个世纪里,它发生得太慢,以至于对个人来说几乎是看不见的。而且由于我们不需要处理新想法的习俗,我们也没有发展出任何习俗。

我们对雄心勃勃项目的早期版本缺乏足够的经验,不知道如何应对它们。我们像对待更完成的工作或不太雄心勃勃的项目一样评判它们。我们没有意识到它们是特殊情况。

或者至少,大多数人没有。我自信我们能做得更好的原因之一是,这已经开始发生了。在这方面已经有一些地方生活在未来之中。硅谷就是其中之一:一个不知名的人在研究一个听起来很奇怪的想法,不会像在家里那样自动被 dismissed。在硅谷,人们已经意识到这样做有多危险。

处理新想法的正确方法是把它们视为对你想象力的挑战——不仅仅是降低标准,而是完全转换极性,从列举想法不可行的原因,转变为思考它可行的方式。这就是当我遇到有新想法的人时所做的。我已经相当擅长这个,但我有大量的练习。成为 Y Combinator 的合伙人意味着你几乎完全沉浸于由不知名人物提出的奇怪想法中。每六个月你都会面对成千上万的新想法,必须从中筛选,知道在一个结果呈幂律分布的世界里,如果你错过了这个干草堆中的针,将会非常明显。乐观变得紧迫。

但我有希望的是,随着时间的推移,这种乐观态度可以变得足够普遍,成为一种社会习俗,而不仅仅是少数专家使用的技巧。毕竟,这是一个极其有利可图的技巧,而且那些 tends to spread quickly.

当然,缺乏经验并不是人们对雄心勃勃项目的早期版本过于苛刻的唯一原因。他们这样做也是为了显得聪明。在一个新想法有风险的领域,比如初创公司,那些 dismiss 它们的人实际上更可能是对的。只是当他们的预测按结果加权时不是这样。

但人们 dismiss 新想法还有另一个更阴险的原因。如果你尝试一些雄心勃勃的事情,你周围的许多人会有意识或无意识地希望你失败。他们担心如果你尝试一些雄心勃勃的事情并成功了,你会超过他们。在一些国家,这不仅仅是个人缺陷,而是民族文化的一部分。

我不会声称硅谷的人们克服这些冲动是因为他们道德更高尚。[1] 许多人希望你成功的原因是他们希望与你一起上升。对投资者来说,这个激励特别明确。他们希望你成功,因为他们希望你在这个过程中让他们致富。但你遇到的许多其他人也可以从你的成功中以某种方式受益。至少,当你出名时,他们可以说他们很久以前就认识你了。

但即使硅谷的鼓励态度植根于自身利益,但随着时间的推移,它实际上已经成长为一种善意。鼓励初创公司已经实践了很长时间,已经成为一种习俗。现在,这似乎就是对初创公司应该做的事情。

也许硅谷太乐观了。也许它太容易被冒名顶替者愚弄。许多不太乐观的记者想要相信这一点。但他们引用的冒名顶替者名单 suspiciously 很短,而且充满了星号。[2] 如果你用收入作为标准,硅谷的乐观态度似乎比世界其他地方更准确。而且因为它有效,它会传播。

当然,新想法不仅仅是新的初创公司想法。对做出平庸之物的恐惧在每个领域都阻碍着人们。但硅谷展示了习俗可以多快地发展以支持新想法。而这反过来又证明,dismiss 新想法并不是深深植根于人性中,以至于无法 unlearn。


不幸的是,如果你想做新事情,你将面临一个比他人的怀疑更强大的力量:你自己的怀疑。你也会过于严厉地评判自己的早期工作。你如何避免这种情况?

这是一个困难的问题,因为你不想完全消除对做出平庸之物的恐惧。正是这种恐惧引导你走向做好工作。你只是想暂时关闭它,就像止痛药暂时关闭疼痛一样。

人们已经发现了几种有效的技术。哈代在《一个数学家的辩白》中提到了两个:好的工作不是由”谦逊”的人完成的。例如,在任何学科中,教授的首要职责之一是稍微夸大他的学科的重要性和他在其中的重要性。如果你高估了你正在从事的工作的重要性,那将弥补你对初始结果的错误严厉判断。如果你看着某个东西,它是一个价值100的目标的20%,然后得出结论说它是一个价值200的目标的10%,你对它的预期价值的估计是正确的,即使两个组成部分都是错误的。

正如哈代所建议的,稍微过度自信也有帮助。我注意到在许多领域,最成功的人都稍微过度自信。从表面上看,这似乎不太可能。当然,对自己的能力有准确的估计是最优的。怎么可能成为一个错误的优势?因为这个错误补偿了其他来源的反向错误:稍微过度自信使你能够抵御他人的怀疑和你自己的怀疑。

无知有类似的效果。如果你是一个足够宽松的完成作品的评判者,那么将早期工作错误地判断为完成工作是安全的。我怀疑培养这种无知是否可能,但经验上它是一个真正的优势,特别是对年轻人来说。

度过雄心勃勃项目平庸阶段的另一种方法是与合适的人在一起——在社会逆风中创造一个漩涡。但仅仅收集总是鼓励你的人是不够的。你会学会 discount 那个。你需要能够真正区分丑小鸭和幼天鹅的同事。最能做到这一点的人是那些从事自己类似项目的人,这就是为什么大学部门和研究实验室工作得如此之好。你不需要机构来收集同事。他们自然会聚集,只要有机会。但通过寻找其他试图做新事情的人来加速这个过程是非常值得的。

教师实际上是同事的一个特例。教师的工作既是看到早期工作的承诺,也是鼓励你继续。但不幸的是,擅长这个的教师相当稀少,所以如果你有机会向一个学习,抓住它。[3]

对一些人来说,依靠纯粹的纪律可能有效:告诉自己你只需要按过初始的垃圾阶段,不要气馁。但像很多”告诉你自己”的建议一样,这比听起来更难。而且随着年龄增长,它会变得更难,因为你的标准会提高。老人确实有一个补偿优势:他们以前经历过这个。

如果你少关注你现在的位置,多关注变化率,会有所帮助。如果你能看到它在改进,你就不会太担心做不好的工作。显然,它改进得越快,这越容易。所以当你开始新事物时,如果你能花很多时间在它上面是好的。这是年轻的另一个优势:你倾向于有更大的时间块。

另一个常见的技巧是开始时认为新工作是不同类型、要求较低的类型。开始一幅画说它只是一个草图,或者一个新的软件说它只是一个快速的黑客行为。然后你用较低的标准评判你的初始结果。一旦项目滚动起来,你可以偷偷地把它转换成更多的东西。[4]

如果你使用能让你快速工作并且不需要太多前期承诺的媒介,这会更容易。当你在笔记本上绘画时,比当你在雕刻石头时,更容易说服自己某物只是一个草图。而且你得到初始结果更快。[5][6]

如果你把它视为一种学习方式而不仅仅是制作东西的方式,那么尝试一个有风险的项目会更容易。那么即使项目真的失败了,你仍然会从中获益。如果问题定义得足够尖锐,失败本身就是知识:如果你试图证明的定理结果证明是假的,或者你使用某种尺寸的结构构件,它在压力下失效了,你学到了一些东西,即使它不是你想学的东西。[7]

一个对我来说特别有效的动机是好奇心。我喜欢尝试新事物,只是为了看看它们会变成什么样子。我们本着这种精神创立了 Y Combinator,这也是我在研究 Bel 时保持动力的主要因素之一。在长期使用各种方言的 Lisp 之后,我很好奇看到它的固有形状是什么:如果你完全遵循公理方法,你最终会得到什么。

但为了不被看起来平庸的早期努力所气馁,你必须对自己玩心理游戏,这有点奇怪。你试图 trick 自己相信的东西实际上是事实。一个雄心勃勃项目的看起来平庸的早期版本确实比它看起来的更有价值。所以最终的解决方案可能是教自己认识到这一点。

一种方法是研究做过伟大工作的人的历史。他们在早期在想什么?他们做的第一件事是什么?有时很难得到这个问题的准确答案,因为人们常常对自己的早期工作感到尴尬,并且很少努力发表它。(他们也错误地判断它。)但当你能够准确了解某人在通往某条伟大工作道路上迈出的第一步时,它们往往相当微弱。[8]

也许如果你研究足够多的这样的案例,你可以教自己成为早期工作的更好评判者。那么你就能免疫于他人的怀疑和自己对做出平庸之物的恐惧。你会看到早期工作本身的本质。

奇怪的是,过于严厉地评判早期工作的问题的解决方案是意识到我们对它的态度本身就是早期工作。把一切都放在同一标准是一个粗略的第1版。我们已经在进化更好的习俗,我们已经能看到回报会有多大的迹象。

注释

[1] 这个假设可能过于保守。有一些证据表明,历史上湾区吸引的是不同类型的人,比如纽约市。

[2] 他们最喜欢的一个是 Theranos。但 Theranos 股权表最显著的特征是硅谷公司的缺席。记者被 Theranos 愚弄了,但硅谷投资者没有。

[3] 我年轻时对教师犯了两个错误。我更关心教授的研究而不是他们作为教师的声誉,而且我对什么是好教师的理解也是错误的。我认为好教师仅仅意味着擅长解释事情。

[4] Patrick Collison 指出,你可以 past 把某物当作黑客意义上的原型,并 onward 到这个词的更接近实际玩笑的意思:我认为与黑客相关的可能有强大的东西——让脆弱性和不可信性成为一个特征的想法。“是的,这有点荒谬,对吧?我只是想看看如此天真的方法能走多远。” YC 对我来说似乎有这个特征。

[5] 从物理媒介到数字媒介的许多优势不在于软件本身,而在于它让你能够以很少的前期承诺开始新事物。

[6] John Carmack 补充道:早期工作和最终工作之间没有巨大鸿沟的媒介的价值体现在游戏模组中。原始的雷神之锤游戏是模组的黄金时代,因为一切都非常灵活,但由于技术限制,尝试游戏玩法概念的快速黑客行为与官方游戏相差不远。许多职业生涯从那时开始,但随着商业游戏质量多年来提高,制作一个会被社区欣赏的成功模组几乎成为全职工作。这在 Minecraft 和后来的 Roblox 中戏剧性地逆转了,整个体验的审美如此明确地粗糙,以至于创新的游戏玩法概念成为压倒性的价值。这些由单一作者制作的”粗糙”游戏模组现在通常比大型专业团队的工作更重要。

[7] Lisa Randall 建议我们对待新事物作为实验。那样就没有失败这一说,因为你无论如何都会学到东西。你在实验的意义上对待它,如果它真的排除了某些东西,你就放弃并继续前进,但如果有某种方法可以改变它使其工作得更好,那就继续做。

[8] Michael Nielsen 指出,互联网使这更容易,因为你可以看到程序员的第一次提交,音乐家的第一个视频等等。

感谢 Trevor Blackwell、John Carmack、Patrick Collison、Jessica Livingston、Michael Nielsen 和 Lisa Randall 阅读本文的草稿。

Early

October 2020

One of the biggest things holding people back from doing great work is the fear of making something lame. And this fear is not an irrational one. Many great projects go through a stage early on where they don’t seem very impressive, even to their creators. You have to push through this stage to reach the great work that lies beyond. But many people don’t. Most people don’t even reach the stage of making something they’re embarrassed by, let alone continue past it. They’re too frightened even to start.

Imagine if we could turn off the fear of making something lame. Imagine how much more we’d do.

Is there any hope of turning it off? I think so. I think the habits at work here are not very deeply rooted.

Making new things is itself a new thing for us as a species. It has always happened, but till the last few centuries it happened so slowly as to be invisible to individual humans. And since we didn’t need customs for dealing with new ideas, we didn’t develop any.

We just don’t have enough experience with early versions of ambitious projects to know how to respond to them. We judge them as we would judge more finished work, or less ambitious projects. We don’t realize they’re a special case.

Or at least, most of us don’t. One reason I’m confident we can do better is that it’s already starting to happen. There are already a few places that are living in the future in this respect. Silicon Valley is one of them: an unknown person working on a strange-sounding idea won’t automatically be dismissed the way they would back home. In Silicon Valley, people have learned how dangerous that is.

The right way to deal with new ideas is to treat them as a challenge to your imagination — not just to have lower standards, but to switch polarity entirely, from listing the reasons an idea won’t work to trying to think of ways it could. That’s what I do when I meet people with new ideas. I’ve become quite good at it, but I’ve had a lot of practice. Being a partner at Y Combinator means being practically immersed in strange-sounding ideas proposed by unknown people. Every six months you get thousands of new ones thrown at you and have to sort through them, knowing that in a world with a power-law distribution of outcomes, it will be painfully obvious if you miss the needle in this haystack. Optimism becomes urgent.

But I’m hopeful that, with time, this kind of optimism can become widespread enough that it becomes a social custom, not just a trick used by a few specialists. It is after all an extremely lucrative trick, and those tend to spread quickly.

Of course, inexperience is not the only reason people are too harsh on early versions of ambitious projects. They also do it to seem clever. And in a field where the new ideas are risky, like startups, those who dismiss them are in fact more likely to be right. Just not when their predictions are weighted by outcome.

But there is another more sinister reason people dismiss new ideas. If you try something ambitious, many of those around you will hope, consciously or unconsciously, that you’ll fail. They worry that if you try something ambitious and succeed, it will put you above them. In some countries this is not just an individual failing but part of the national culture.

I wouldn’t claim that people in Silicon Valley overcome these impulses because they’re morally better. [1] The reason many hope you’ll succeed is that they hope to rise with you. For investors this incentive is particularly explicit. They want you to succeed because they hope you’ll make them rich in the process. But many other people you meet can hope to benefit in some way from your success. At the very least they’ll be able to say, when you’re famous, that they’ve known you since way back.

But even if Silicon Valley’s encouraging attitude is rooted in self-interest, it has over time actually grown into a sort of benevolence. Encouraging startups has been practiced for so long that it has become a custom. Now it just seems that that’s what one does with startups.

Maybe Silicon Valley is too optimistic. Maybe it’s too easily fooled by impostors. Many less optimistic journalists want to believe that. But the lists of impostors they cite are suspiciously short, and plagued with asterisks. [2] If you use revenue as the test, Silicon Valley’s optimism seems better tuned than the rest of the world’s. And because it works, it will spread.

There’s a lot more to new ideas than new startup ideas, of course. The fear of making something lame holds people back in every field. But Silicon Valley shows how quickly customs can evolve to support new ideas. And that in turn proves that dismissing new ideas is not so deeply rooted in human nature that it can’t be unlearnt.


Unfortunately, if you want to do new things, you’ll face a force more powerful than other people’s skepticism: your own skepticism. You too will judge your early work too harshly. How do you avoid that?

This is a difficult problem, because you don’t want to completely eliminate your horror of making something lame. That’s what steers you toward doing good work. You just want to turn it off temporarily, the way a painkiller temporarily turns off pain.

People have already discovered several techniques that work. Hardy mentions two in A Mathematician’s Apology: Good work is not done by “humble” men. It is one of the first duties of a professor, for example, in any subject, to exaggerate a little both the importance of his subject and his importance in it. If you overestimate the importance of what you’re working on, that will compensate for your mistakenly harsh judgment of your initial results. If you look at something that’s 20% of the way to a goal worth 100 and conclude that it’s 10% of the way to a goal worth 200, your estimate of its expected value is correct even though both components are wrong.

It also helps, as Hardy suggests, to be slightly overconfident. I’ve noticed in many fields that the most successful people are slightly overconfident. On the face of it this seems implausible. Surely it would be optimal to have exactly the right estimate of one’s abilities. How could it be an advantage to be mistaken? Because this error compensates for other sources of error in the opposite direction: being slightly overconfident armors you against both other people’s skepticism and your own.

Ignorance has a similar effect. It’s safe to make the mistake of judging early work as finished work if you’re a sufficiently lax judge of finished work. I doubt it’s possible to cultivate this kind of ignorance, but empirically it’s a real advantage, especially for the young.

Another way to get through the lame phase of ambitious projects is to surround yourself with the right people — to create an eddy in the social headwind. But it’s not enough to collect people who are always encouraging. You’d learn to discount that. You need colleagues who can actually tell an ugly duckling from a baby swan. The people best able to do this are those working on similar projects of their own, which is why university departments and research labs work so well. You don’t need institutions to collect colleagues. They naturally coalesce, given the chance. But it’s very much worth accelerating this process by seeking out other people trying to do new things.

Teachers are in effect a special case of colleagues. It’s a teacher’s job both to see the promise of early work and to encourage you to continue. But teachers who are good at this are unfortunately quite rare, so if you have the opportunity to learn from one, take it. [3]

For some it might work to rely on sheer discipline: to tell yourself that you just have to press on through the initial crap phase and not get discouraged. But like a lot of “just tell yourself” advice, this is harder than it sounds. And it gets still harder as you get older, because your standards rise. The old do have one compensating advantage though: they’ve been through this before.

It can help if you focus less on where you are and more on the rate of change. You won’t worry so much about doing bad work if you can see it improving. Obviously the faster it improves, the easier this is. So when you start something new, it’s good if you can spend a lot of time on it. That’s another advantage of being young: you tend to have bigger blocks of time.

Another common trick is to start by considering new work to be of a different, less exacting type. To start a painting saying that it’s just a sketch, or a new piece of software saying that it’s just a quick hack. Then you judge your initial results by a lower standard. Once the project is rolling you can sneakily convert it to something more. [4]

This will be easier if you use a medium that lets you work fast and doesn’t require too much commitment up front. It’s easier to convince yourself that something is just a sketch when you’re drawing in a notebook than when you’re carving stone. Plus you get initial results faster. [5] [6]

It will be easier to try out a risky project if you think of it as a way to learn and not just as a way to make something. Then even if the project truly is a failure, you’ll still have gained by it. If the problem is sharply enough defined, failure itself is knowledge: if the theorem you’re trying to prove turns out to be false, or you use a structural member of a certain size and it fails under stress, you’ve learned something, even if it isn’t what you wanted to learn. [7]

One motivation that works particularly well for me is curiosity. I like to try new things just to see how they’ll turn out. We started Y Combinator in this spirit, and it was one of main things that kept me going while I was working on Bel. Having worked for so long with various dialects of Lisp, I was very curious to see what its inherent shape was: what you’d end up with if you followed the axiomatic approach all the way.

But it’s a bit strange that you have to play mind games with yourself to avoid being discouraged by lame-looking early efforts. The thing you’re trying to trick yourself into believing is in fact the truth. A lame-looking early version of an ambitious project truly is more valuable than it seems. So the ultimate solution may be to teach yourself that.

One way to do it is to study the histories of people who’ve done great work. What were they thinking early on? What was the very first thing they did? It can sometimes be hard to get an accurate answer to this question, because people are often embarrassed by their earliest work and make little effort to publish it. (They too misjudge it.) But when you can get an accurate picture of the first steps someone made on the path to some great work, they’re often pretty feeble. [8]

Perhaps if you study enough such cases, you can teach yourself to be a better judge of early work. Then you’ll be immune both to other people’s skepticism and your own fear of making something lame. You’ll see early work for what it is.

Curiously enough, the solution to the problem of judging early work too harshly is to realize that our attitudes toward it are themselves early work. Holding everything to the same standard is a crude version 1. We’re already evolving better customs, and we can already see signs of how big the payoff will be.

Notes

[1] This assumption may be too conservative. There is some evidence that historically the Bay Area has attracted a different sort of person than, say, New York City.

[2] One of their great favorites is Theranos. But the most conspicuous feature of Theranos’s cap table is the absence of Silicon Valley firms. Journalists were fooled by Theranos, but Silicon Valley investors weren’t.

[3] I made two mistakes about teachers when I was younger. I cared more about professors’ research than their reputations as teachers, and I was also wrong about what it meant to be a good teacher. I thought it simply meant to be good at explaining things.

[4] Patrick Collison points out that you can go past treating something as a hack in the sense of a prototype and onward to the sense of the word that means something closer to a practical joke: I think there may be something related to being a hack that can be powerful — the idea of making the tenuousness and implausibility a feature. “Yes, it’s a bit ridiculous, right? I’m just trying to see how far such a naive approach can get.” YC seemed to me to have this characteristic.

[5] Much of the advantage of switching from physical to digital media is not the software per se but that it lets you start something new with little upfront commitment.

[6] John Carmack adds: The value of a medium without a vast gulf between the early work and the final work is exemplified in game mods. The original Quake game was a golden age for mods, because everything was very flexible, but so crude due to technical limitations, that quick hacks to try out a gameplay idea weren’t all that far from the official game. Many careers were born from that, but as the commercial game quality improved over the years, it became almost a full time job to make a successful mod that would be appreciated by the community. This was dramatically reversed with Minecraft and later Roblox, where the entire esthetic of the experience was so explicitly crude that innovative gameplay concepts became the overriding value. These “crude” game mods by single authors are now often bigger deals than massive professional teams’ work.

[7] Lisa Randall suggests that we treat new things as experiments. That way there’s no such thing as failing, since you learn something no matter what. You treat it like an experiment in the sense that if it really rules something out, you give up and move on, but if there’s some way to vary it to make it work better, go ahead and do that

[8] Michael Nielsen points out that the internet has made this easier, because you can see programmers’ first commits, musicians’ first videos, and so on.

Thanks to Trevor Blackwell, John Carmack, Patrick Collison, Jessica Livingston, Michael Nielsen, and Lisa Randall for reading drafts of this.