① 他说过的话

17 条

我看到的是，这种专注于构建越来越智能、越来越大的模型的趋势。几乎就像你在建造越来越大的核堆芯，却没人考虑在这些东西上面加一个安全壳圆顶。
What I saw was this focus on building more and more intelligent models and bigger models. Almost like you’re building bigger and bigger nuclear cores, but no one’s thinking about putting a dome on top of these things.
—— Manoj Saxena · [00:22]

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所以像 OpenClaw 这样的事物的兴起，我认为 OpenClaw 对商业和社会的影响将是 ChatGPT 的一千倍。
So the rise of things like OpenClaw, I think OpenClaw is going to be a thousand times more impactful than ChatGPT was in terms of its impact on business and society.
—— Manoj Saxena · [05:19]

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一家大型跨国公司告诉我，到今年年底，他们公司里将有 100,000 个智能体。
One of the large global companies told me by the end of this year, they’ll have 100,000 agents in the company.
—— Manoj Saxena · [07:42]

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问题之一是，今天这是一个完全开放的空间，因为运行时控制意味着控制决策发生在行动的那一刻，而不是几周前的政策文档里，也不是几小时后的审计日志里。
So one of the issues is this is a wide open space today because runtime control means the control decision happens at the moment of action, not weeks before in a policy document or not hours later in an audit log.
—— Manoj Saxena · [08:36]

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我喜欢说，我可以给你建造世界上最安全的监狱并从外部防守。但如果里面关着一群恰吉和汉尼拔·莱克特，你那边照样会一团糟。
I like to say that I can build you the world’s most secure prison and defend it from outside. But if you have a bunch of Chuckies and Hannibal Lecters on the inside, you’re still going to have chaos on your side.
—— Manoj Saxena · [09:13]

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所以思考这个问题的一种方式是，你正在往公司里发射这些超级跑车，装着巨大的千匹马力发动机，却没有方向盘，没有刹车，也没有安全带。
So one way to think about it is you’re launching these supercars into your company with a giant, you know, a thousand horsepower engine without any steering wheel, without brakes, without seat belts.
—— Manoj Saxena · [09:48]

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已经有实验证明，智能体在相互交流时发现，英语并不是最高效的语言。
It has been demonstrated that agents have figured out that when they talk to each other, they figured out that English is not the most efficient language.
—— Manoj Saxena · [16:08]

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我喜欢说，AI 太重要了，不能留给技术人员。
I like to say that AI is too important to be left to technologists.
—— Manoj Saxena · [20:24]

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事实上，有一份 MIT 报告说，95% 的智能体项目无法从试点走向生产。
In fact, there was an MIT report that says 95% of agent projects are not able to move from pilots to production.
—— Manoj Saxena · [21:01]

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是的，我们已经证明，在将安全性提高 40% 的同时，成本最多降低了 83%。
Yeah, we have demonstrated as much as 83% reduction in costs as we improved safety by 40%.
—— Manoj Saxena · [32:08]

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我创建整个公司的论点是：没有控制的智能是不可部署的。
My thesis for building the whole company is intelligence without control is not deployable.
—— Manoj Saxena · [38:51]

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我认为人们还没有充分理解的一件事是：AI 不是应用程序。AI 是一个行动者。
I think one of the things that people don’t understand much yet is that AI is not an application. AI is an actor.
—— Manoj Saxena · [44:21]

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因为我不知道你有没有关注到，但上个月，有史以来第一次，互联网上的流量，智能体流量超过了人类流量。
Because I don’t know if you tracked this, but last month, the first time ever, the traffic on the internet, Asian traffic exceeded human traffic.
—— Manoj Saxena · [45:44]

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所以它们看起来像一群狂吠的疯狗。但如果你开始给它们装上方向盘、配上策略，你就能引导它们以每小时几分钱的成本做出神奇的事情，实现自动化，并想出我们甚至尚未梦想过的新事物。
So they look like a collection of mad barking dogs. But if you start putting the steering wheels on them and putting the policies, you can then guide them to do some amazing things for pennies an hour and automate and come up with new things that we have not even dreamed of yet.
—— Manoj Saxena · [47:44]

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提示词正在迅速变得过时。提示词正在被循环取代。
Prompting is rapidly becoming passe. Prompting is being replaced by loops.
—— Manoj Saxena · [49:38]

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他说，你知道，大多数特级大师能看 22 到 24 步深。那台机器看了 95 步深。我们甚至不知道还有那样的棋。
He said, you know, most grandmasters can look 22 to 24 moves deep. This machine was looking 95 moves deep. We didn’t even know there was a move like that.
—— Manoj Saxena · [58:58]

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这就是为什么我不相信硅谷那些虚浮的东西，说什么，哦，我们要创造 AGI。当你没有政策来对齐结果应该是什么样子时，你要怎么创造它？
And that’s why I don’t buy the Silicon Valley frou-frou stuff about, oh, we’re going to create AGI. How will you create it when you don’t have the policies to align what outcome looks like?
—— Manoj Saxena · [61:24]

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② 出现在这些集

1 集

• 《给智能体建一个“人力资源部”：TrustWise 创始人谈运行时治理》 — 作为主持

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