复合 (compounding)
集里怎么说它
- 《被裁员后用 ChatGPT 当职业教练：一位撰稿人的两年 AI 进化史》(32:29起):本集把它说成：你给 AI 的每一条反馈都应回馈进系统、改进下一次输出——一条反馈只给一次，固化好了就永远在那里
- 《26 亿美元大学捐赠基金的 CIO，把风投和 LP 的账算得明明白白》(16:32起):本集说复利数学支配最大的那堆钱，是缩短基金期限、追求资本周转速度背后的第一性原理。
① 提到它的金句
8 条
你真正能构建复利价值的唯一方式，是你的系统里存在某种能给你带来复利优势的东西，让未来的 AI 工具能够持续加以利用。
指向原始笔记的链接
The only way you can actually build compounding value is if in your system there is something that gives you a compounding advantage that future AI tools can continue to take advantage of.
—— Rishabh Jain · [27:31]
我看到，一个拥有复利系统的工程师就是能打赢完整的、在用 AI 但没有复利系统的团队。
指向原始笔记的链接
And I see that one engineer with a compounding system just beats teams, like full teams that use AI that don’t.
—— Kieran Klaassen · [06:27]
因为 AI 确实拥有这种巨大的倍增能力，去放大这种复利能力。但那里的风险在于，价值将会复合集中到那一小部分恰好早早入场的人身上。
指向原始笔记的链接
Because AI does have this huge multiplicative capacity to end this compounding capacity. But the risk there is that value is going to compound to the small subset of people that happen to be early.
—— 嘉宾 · [46:26]
于是你开始获得复利式的收益，你开始看到智能体让你的生产率以超过单纯线性的速度向上拐升。
指向原始笔记的链接
And so you start to get compounding gains, you start to see agents sort of inflecting your productivity upwards faster than just linear.
—— Drew · [05:57]
但我想你也可以打赌,我们会继续保持一直在做的事——以一种让摩尔定律都相形见绌的荒谬程度,不懈地把每一美元的价值以巨大的复利方式不断推高、推高、再推高。
指向原始笔记的链接
But I think you can also bet that we will keep doing what we’ve done of just a ridiculous, like put Moore’s law to shame, relentless focus on driving value per dollar up and up and up kind of in this big compounding way.
—— 嘉宾 · [32:32]
一个仅仅还算不错但永远不会忘记你、并在多年间不断复利的模型,在实践中开始显得超人。
指向原始笔记的链接
A model that’s merely good but never forgets you and keeps compounding over the years starts to feel superhuman in practice.
—— Dylan Couzon · [11:12]
如果你有 10 个任务按顺序执行，ER 模型有某个 x 成功率，VLA 模型有 y 成功率，那么如果你有一个按顺序执行的任务，你基本上就是在复合误差。
指向原始笔记的链接
if you have 10 tasks in sequence and now you have the ER model which has a certain x success rate and the VLA model which has a y success rate now the if you have a sequencing task you are basically compounding the error.
—— Kirthana Gopalakrishnan · [52:39]
还是更自动化的方式，比如用记忆或 prompt 优化之类的工具，这个复利循环非常重要，要构建到你的系统中并由你掌控。
指向原始笔记的链接
Or more automatically, whether that’s with memory or prompt optimization things, this compounding loop is really important to build into your systems and to own.
—— 嘉宾 · [06:23]
② 出现在这些集
2 集
③ 关联
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