集里怎么说它

• 《Casey Moratori：为什么你的软件慢了100倍》(00:24起):本集说真正的优化不是跑性能剖析找热点，而是先算硬件理论峰值，再量实际差距并缩小它；只找热点改改叫改进，找到局部最小值不是优化

① 提到它的金句

9 条

在整个开源模型、替代模型、模型优化市场真正起飞之前，这家公司就已经在一个可能会让大多数人震惊的规模上疯狂盈利了。
This company is wildly profitable at a scale that would probably shock most people before this whole open source model, alternative model, model optimization market really takes off.
—— Matt Murphy · [28:41]

指向原始笔记的链接

所有这些带来的结果是，现在我们拥有 1000 多个 MCP 工具，仅凭这些优化工作，我们就在整个集群范围内节省了超过 40%。
And all of this led to, like, now we have 1,000-plus MCP tools, and just with these optimization efforts, we’ve saved more than 40% fleet-wide savings.
—— Uday Kiran Medisetty · [05:27]

指向原始笔记的链接

所以一切对我来说，当你对信息和各种工作的相关信息有无限的需求时，其核心是一个围绕质量、成本和延迟的优化问题。
So everything, to me, when you have an infinite appetite for information and relevant information for all kinds of work, it’s at its core an optimization problem around quality, cost, and latency.
—— Parag · [14:22]

指向原始笔记的链接

你不再是去担心性能优化和 API 兼容性,而是在代码评审中更多地去思考架构。
Instead of you worrying about the optimization of the performance and the API compatibility, you’re going to be thinking more about architecture in your code reviews.
—— Will Bond · [14:19]

指向原始笔记的链接

而我认为很多创业的开端就是过早优化。
And I think a lot of starting startups is premature optimization.
—— Amjad Masad · [17:30]

指向原始笔记的链接

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。
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]

指向原始笔记的链接

每一层可能会有 10%、20%、2 倍的差距。你把这些优化机会相乘起来，突然之间你就得到了一个很大的端到端机会，不管你想怎么表述，比如每瓦智能或每瓦效益。
And so there might be 10%, 20%, 2x across each of these layers. You start multiplying those optimization opportunities through, and all of a sudden you’re left with a big end-to-end opportunity in terms of whatever you want to say, intelligence per watt or good per watt.
—— Amin Vahdat · [24:54]

指向原始笔记的链接

你知道，同样是 0% 的准确率，但你永远不会得到「把脸在键盘上乱按」这种情况，因为优化中的这种不对称性。
You know, it’s the same 0% accuracy, but you never get the mashing your face on the keyboard because of the asymmetry in the optimization.
—— Diogo Almeida · [07:53]

指向原始笔记的链接

对一个非常简单、易于描述的量的追求和优化，往往会催生极其难以描述的复杂性和涌现。
An optimization of a very simple, easy to describe quantities can often give rise to incredibly hard to describe complexity and emergence.
—— David Silver · [18:19]

指向原始笔记的链接

② 出现在这些集

1 集

• 《Casey Moratori：为什么你的软件慢了100倍》 — 作为概念

③ 关联

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