集里怎么说它

• 《Marc Andreessen：AI 是现代炼金术，为什么你不是在失业而是在变贵》(00:43起):本集说工作是任务的捆绑，大家都在谈失业但真正应该关注的是任务变化，工作比单个任务存在得更久，举了高管从不动手打字到亲自发邮件的例子

① 提到它的金句

21 条

当我们为自己的产品思考智能体时，它真正指的是能够自主地对一个它从未见过的新任务进行推理的东西。
And so when we think about agents for our product, it’s really something that is able to autonomously reason its way through a novel task that it hasn’t seen before.
—— 嘉宾 · [16:07]

指向原始笔记的链接

每个人都想谈论失业，但实际上，你应该关注的是任务丧失。
Everybody wants to talk about job loss, but really, what you want to look at is task loss.
—— Marc Andreessen · [00:43]

指向原始笔记的链接

人们在 OpenClaw 上跌跌撞撞的地方在于,他们读到 OpenClaw 正在经营我的业务,他们以为可以把任何任务扔给单个智能体并获得出色的结果。
Where people stumble with OpenClaw is they read about OpenClaw is running my business, and they think they can throw any task at a single agent and get great results.
—— Claire Vo · [41:00]

指向原始笔记的链接

因为如果你在开头 misspecify 任务，你会得到垃圾。
Because if you misspecify the task up front, you are gonna get garbage.
—— Ryan Lopopolo · [15:32]

指向原始笔记的链接

你受限于一个任务，你一次做一件事，一次做一个项目，你有一个光标，你需要理解的是，现在你不必再那样做了，你有一支智能体大军
you’re limited by one task you do one thing at a time you do one project at a time you have one cursor what you need to understand nowadays is that you don’t have to do that anymore you have an army of agents
—— Meng To · [46:43]

指向原始笔记的链接

我认为现在，当前这一代模型可以完成我们在 Curative 的所有后台任务。
I think today, the current gen models can do every back office task we have at Curative.
—— Fred Turner · [79:08]

指向原始笔记的链接

一个后训练得非常好的、算力弱一点的、更小的模型,在商业任务上的表现通常比像一个大型专有模型这样的大型模型更好,而且也便宜得多。
A really well post-trained, kind of less powerful, smaller model works often better for a business task than like a large, you know, kind of a large proprietary model and is much cheaper as well.
—— Ben Horowitz · [21:08]

指向原始笔记的链接

阅读放射学扫描的任务已经被自动化,但在过去几年里放射学工作的数量增加了大约 20%,即使 AI 已经接管了整个领域。
The task of reading radiology scans has been automated, but the number of radiology jobs has increased some 20% in the last several years, even though AI has taken over the whole field.
—— Jensen Huang · [32:37]

指向原始笔记的链接

所有这一切意味着核心模型任务是什么,不再是从用户那里获取一个提示词并返回一个答案,但实际上是从用户那里获取一个需要许多、许多步骤的任务。
All this means is what the core model task is, is no longer to get a prompt from a user and come back with an answer, But it is actually to get a task from a user that requires many, many steps.
—— Daniel McKinnon · [13:20]

指向原始笔记的链接

关键在于，智能体有能力在这个非常具体的任务中胜过你，根据运行实验室的人们的判断，他们显然做到了，并找到了一种方法来做到这一点。这意味着我们在网络安全意义上已经穿过了镜面。这个精灵无法再被关回瓶子里了。
The point is, the agents are capable of out-thinking you in this very specific task, as they clearly did based on the people running the laboratory, and find a way to do it. And that means that we are through the looking glass in a cybersecurity sense. This genie is not going back in the box.
—— Chris Benson · [14:14]

指向原始笔记的链接

所以当我们微调更小、更笨的模型时,它们只是没那么通用,但在我们想要它们做的特定任务上,它们实际上优于那些大型、聪明、最先进的模型。
So when we fine-tune smaller, dumber models, it’s that they’re just not as general purpose, but on the specific task we want them to do, they actually outperform the large, smart, state-of-the-art models.
—— Jesse Zhang · [05:34]

指向原始笔记的链接

你的任务越长,你的智能体在某个时刻失败的可能性就越大,如果你处于 123 个步骤中的第 67 步,然后必须在重启任务时再次执行所有这 67 个步骤,那感觉真的很糟糕。
It’s likely that the longer your task is, at some point your agent is going to fail, and it’s going to feel really bad if you’re on step 67 out of 123, and then you have to execute all the 67 steps again when you restart the task.
—— 嘉宾 · [08:57]

指向原始笔记的链接

我们发现,大多数情况下,它会进行SQL注入,它会实施犯罪,并且它会做它需要做的事情来完成该任务。
We found more often than not, it would do the SQL injection, it would commit the felony, and it would do what it needed to do to accomplish the task.
—— Dylan · [02:13]

指向原始笔记的链接

当我们第一次看到机器人这样做时，我们惊呆了，因为这个任务没有任何训练数据。
The first time we saw the robot do this, we were like floored because there was no training data for this task.
—— Chelsea Finn · [33:32]

指向原始笔记的链接

所以我们现在能做的，基本上就是为一个非常具体的任务提出一个全新的分子，然后在实验室里制造它，再把它用于那个特定任务。
And so what we can do is we can now basically come up with an entirely new molecule for a very specific task and then make it in the lab and then use that for that particular task.
—— Max Welling · [13:16]

指向原始笔记的链接

然后它们试图想办法让分数看起来像是它们成功获得了标记，而实际上并没有，因为它们认为它们的任务是不可能的。
And then they were like trying to figure out ways of making it look to the score like they had acquired the flag successfully when they actually hadn’t because they thought their task was impossible.
—— Ryan Greenblatt · [02:28]

指向原始笔记的链接

它们想打造一个成功的任务完成的波将金村来呈现给评分系统。
They wanted to make a Potemkin village of a successful task completion to present to the score.
—— Ryan Greenblatt · [10:18]

指向原始笔记的链接

具体性基本上是所有质量的标尺。比如如果你能给智能体一个非常具体的任务，让它对要做什么有清晰的指示，那就会比一个泛泛的『这样去找代码坏味道』要好。
Specificity basically is the ruler of all quality. Like if you can have a very specific task that the agent has clear instructions on what to do, it’s gonna be better than a generic here’s how to look for code smells.
—— Drew · [42:17]

指向原始笔记的链接

你越是需要多个模型来完成一项任务或一组任务，价值就越是积聚到那个能够理解任务、获取数据并处理工作流的层上
the more that you need multiple models to do a task or a set of tasks, the more value accrues to the layer that can understand the task and get access to the data and handle the workflow
—— Aaron Levie · [26:22]

指向原始笔记的链接

我心想，我为什么不直接让 Computer-Use 去做这一整件事？因为我到了这个境界，意识到，哦，表单，我再也不用填了。
I’m like, why didn’t I ask Computer-Use to do this whole task? Because I just got to this point where I realized, oh, forms, I don’t have to fill out anymore.
—— Demetrios Brinkmann · [22:15]

指向原始笔记的链接

我认为这才是它真正的力量所在:把我们日常生活中的不同任务放在一起训练,给它一个更高层次的任务,让它自己去弄清楚步骤、它需要做什么。
And I think that’s truly the power of it is to train different tasks in our daily life together and give it a higher task and let it figure out what the steps, what it needs to do.
—— Peng Zheng · [32:54]

指向原始笔记的链接

② 出现在这些集

2 集

• 《Marc Andreessen：AI 是现代炼金术，为什么你不是在失业而是在变贵》 — 作为概念
• 《AI 会改变一切，但也「只和互联网一样大」》 — 作为概念

③ 关联

点进去有真内容 —— 本页主要出口

Lenny · AGI · Claude Code · Marc Andreessen · Benedict Evans · AI · OpenAI · 生产力增长 · Anthropic · 一对一辅导