① 他说过的话

22 条

NVIDIA 成为世界上最具影响力的技术公司。
NVIDIA being the most consequential technology company in the world.
—— Jensen Huang · [00:10]

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我刚刚描述了一份无法获得融资的商业计划。
I just described a business plan that is impossible to fund.
—— Jensen Huang · [21:40]

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对你所拥有的一切心怀感激是可能的,对我们所处的现状感到不满,并对卓越抱有渴望也是可能的。
It’s possible to be grateful for everything that you have. to be unsatisfied with where we are at, and to have aspirations for greatness.
—— Jensen Huang · [30:55]

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在技术发生拐点时,恰恰是领导地位可能发生改变的时候。
during an inflection in technology is exactly when leadership can change.
—— Jensen Huang · [34:46]

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谁能最推进那一层,谁就能最大限度地利用这场工业革命。
whoever advances that layer most will exploit this industrial revolution the most.
—— Jensen Huang · [35:03]

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NVIDIA 真诚地是一个只在美国才能发生的故事。
NVIDIA genuinely is a only in America story.
—— Jensen Huang · [38:06]

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在未来,大多数公司将建立在驾驭机制之上。
In the future, most companies will be built on harnesses.
—— Jensen Huang · [13:10]

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以某种方式外包那种智力,无论你是一个人、公司还是国家,对我来说都毫无意义。
And somehow outsourcing that intelligence, whether you’re a person, company, country, makes no sense to me.
—— Jensen Huang · [15:50]

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我无法想象当我需要增强我的智能时还会去呼叫第三方。
I can’t imagine calling a third party when I need to enhance my intelligence.
—— Jensen Huang · [16:54]

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它是电子,不是原子。
It’s electrons, not atoms.
—— Jensen Huang · [20:47]

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与此同时,我们知道的一件事是,我们使用的 AI 越多,不知何故,我们要雇佣的人就越多。
Meanwhile, one of the things that we know is that the more AI we use, somehow, the more people we have to hire.
—— Jensen Huang · [22:15]

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大多数人不相信的是,我们创办公司时选择的技术绝对是错误的。
The thing that most people don’t believe is that the choice of our technology that we started the company with was absolutely wrong.
—— Jensen Huang · [01:19]

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成就伟大公司的是你对世界的一种独特视角,并且你深信不疑。
What makes great companies is a unique perspective about the world that you deeply believe in.
—— Jensen Huang · [06:19]

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我们的感悟是,一切都与算法有关,而不是芯片,结果证明是完全正确的。
Our realization is everything to do with algorithm, not the chip, turns out to be exactly right.
—— Jensen Huang · [07:00]

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如果这件事很重要,我们就去学习它,能有多难呢?
If it’s important to do, we’re going to go learn it, and how hard can it be?
—— Jensen Huang · [04:53]

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对我们的突破是意识到 AlexNet 并不是 AlexNet 本身,而是一种深度学习的方法,允许你学习任何函数。
The breakthrough for us was realizing that AlexNet was not AlexNet, that AlexNet was an approach with deep learning that allows you to learn any function.
—— Jensen Huang · [11:28]

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当有一天我死在工作岗位上时,你知道,我告诉他们,他们只需要为下一位 CEO 重新塑造公司。
When I die on the job someday, you know, I told them they’ll just have to reshape the company for the next CEO.
—— Jensen Huang · [18:00]

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大多数必须做的底层工作都将通过智能体完成。
Most of the low-level things that has to be done are going to be done agentically anyways.
—— Jensen Huang · [20:17]

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可控制性可能是我们在每个层面上对智能体需要的单一最大的突破。
Controllability is probably the single biggest breakthrough that we need for agents at every single level.
—— Jensen Huang · [23:20]

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关于 AI 毁灭工作的叙事恰恰是本末倒置的。
The narrative about AI destroying jobs is exactly backwards.
—— Jensen Huang · [31:55]

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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]

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如果我能生成手指移动的视频,如果我能生成手拿起杯子的视频,为什么我不能让机器人做同样的事情?
If I can generate video of a finger moving, if I could generate video of a hand picking up a glass, why can’t I cause a robot to do the same?
—— Jensen Huang · [35:03]

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② 出现在这些集

3 集

• 《只在美国才能发生的故事:黄仁勋与 NVIDIA》 — 作为嘉宾
• 《黄仁勋对话 LangChain:用开放堆栈打造企业超级智能体》 — 作为主持
• 《Jensen Huang 谈 NVIDIA 创业史、物理 AI 与创始人模式》 — 作为主持

③ 他谈到的

点进去有真内容 —— 本页主要出口

NVIDIA · 深度学习 · 智能体 · 沙箱 · Condi Rice · harness · Jerry · AMD · 前沿模型 · Sega

④ 也在聊「智能体」的人