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Science

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本站收录 2 集 · 25 条金句 · 关联 10 个

集里怎么说它

① 提到它的金句

25 条

人类历史上没有哪一个深刻的科学学科到达了一个说我们完成了、我们不再创新的境地,而人工智能是——如果说不是人类文明中——最年轻的学科之一,就科学和技术而言,我们还在挠皮毛。
There’s not a single deeply scientific discipline in human history that has arrived at a place that says we’re done, we’re done innovating and AI is one of the, if not the youngest discipline in human civilization in terms of science and technology, we’re still scratching the surface.
—— Dr. Fei-Fei Li · [27:01]

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这里有我们这里负责科学的副总裁 Kevin Weil 的一句话，他喜欢说：“这是模型有史以来最糟糕的时候。“
There’s a quote from Kevin Weil, our VP of science here, and he likes saying, “This is the worst the models will ever be.”
—— Sherwin Wu · [01:05]

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裁掉两万人这件事,不可能有什么科学依据。
There is no way there is science to laying off 20,000 people.
—— Matan Grinberg · [40:04]

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你在计算机科学课程里学到的一切、你在工程学里学到的一切，在原子世界里都适用。
Everything you learn in your computer science curriculum, everything you learn in engineering, it plays in the Atoms world.
—— Travis Kalanick · [35:29]

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忘掉你在课堂上学到的关于计算机科学理论的一切。
Forget everything that you’ve learned about computer science theory in class.
—— Boris Cherny · [31:49]

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忘掉你在课堂上学到的关于计算机科学理论的所有东西。
forget everything that you learned about computer science theory in class.
—— Boris Cherny · [32:11]

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我认为今天真正的危险之一是这些事情变成像科学项目。
I think one of the real dangers today is these things turn into like science projects.
—— Andy McCall · [22:19]

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仍然有一些相当稀缺的事情你可以在内部解决。数据科学仍然稀缺。真正好的品味仍然稀缺。综合分析仍然稀缺。
There are still some things that are quite scarce that you can work on internally. Data science is still scarce. Really good taste is still scarce. Synthesizing analytics is still scarce.
—— Elaina O’Mahoney · [12:02]

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但从某种意义上说，这并不是火箭科学，不需要你是个天才。你只需要问这个问题：你会希望从一个人类队友那里得到什么，我们能否推动 AI 以类似的方式表现？
But in some ways it’s not a rocket science, doesn’t require you being a genius. You just need to ask the question of what would you want from a human teammate and can we push AI to behave in a similar way?
—— Roman Ugarte · [41:21]

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因低估技术与科学进步的速度而亏掉的钱，远远多于因高估速度而亏掉的。
Underestimating the velocity of technology and science progress than overestimating the velocity.
—— Zavain Dar · [32:57]

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所以突然之间，计算机科学里最酷的地方将变成概率编程，而这就像是 1960 和 70 年代计算机科学的全部内容。
And so suddenly the coolest place to be in computer science is going to be in probabilistic programming, which was like all of computer science in the 1960s and 70s.
—— Martin Casado · [51:10]

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Scaling loss 起作用不只是科学概念。视频只是比 LLM 和编程晚了两三年，但很显然它最终在视频领域也会起作用，我就决定赌一把。
It’s not just a concept from science that scaling loss work. Video just takes maybe two, three years longer than LLMs and coding, but it was clear that finally scaling loss should work in video as well, and I just decided just to take a bet.
—— Alex Mashrabov · [10:50]

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所以它不是知道科学的状态，而是知道如何做科学。
So rather than knowing the state of science, it knows how to do science.
—— Doj Chubuk · [03:09]

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而从定义上讲，这意味着它不能仅仅依赖我们已经知道的东西，因为科学正是在试图弄清楚我们还不知道的东西。
Which by definition means it cannot just rely on what we already know because science is trying to figure out what we don’t yet know.
—— Liam Fedus · [03:51]

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他的一个非常有趣的想法是，科学应该由专业人士以工业化的规模来做。
And one of his very interesting ideas was that science should be done at an industrial scale by professionals.
—— Liam Fedus · [08:13]

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而且我认为，它验证了关于科幻小说最重要的一句格言：重要的不是那些装置能做什么，而是它们为谁做、又对谁做。
And it validates, I think, the most important aphorism about science fiction, which is that the important thing is not what gadgets do, it’s who they do it for and who they do it to.
—— Cory Doctorow · [12:30]

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科学定律中没有任何东西告诉我们物质能够爱和恨。
There’s nothing in the laws of science that tells us matter can love and hate.
—— Dr. Christof Koch · [10:04]

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我一直认为机会很小，我至今仍认为机会很小，但科学和自然的伟大之处在于，如果你向自然提出正确的科学问题，你就会得到正确的答案。
I always thought the chances are very small, and I still think the chances are very small, but the great thing about science and nature is if you ask the right scientific question to nature, you will get the right answer.
—— Dr. Christof Koch · [61:18]

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每一个深科技范式转变都需要一个杀手级应用,光子学在科学方面已经酝酿了 20 多年、30 多年。数据中心和 AI 的能耗就是那个杀手级应用。
Every deep deck paradigm shift needs a killer app for photonics more than 20 years in the making, 30 years in the making on the science side. Energy consumption by data centers and AI is that killer app.
—— Rorik · [08:09]

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也许我们正在开始进入这样一个世界：绝对的前沿只对科学、对那些真正困难的发现和大数据类的事情重要。
And maybe we’re starting to break into a world where the absolute frontier matters for science and for all of these really hard discovery and big data stuff.
—— MG Siegler · [48:28]

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有一位非常著名的科幻作家，William Gibson，他说过，街头会为技术找到用途。
And there’s a very famous science fiction author, William Gibson, and he said, the street finds its use for technology.
—— 嘉宾 · [78:38]

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当我看完这份清单时，留在我脑海里的印象是：哇，这是数学和计算机科学领域令人难以置信的进展，但这里没有任何关于密码学的问题。
And as I finished the list, the thing that kind of stuck in my mind is that, wow, this is incredible progress in mathematics, in computer science, but there are no questions here on cryptography.
—— Dan Bonnet · [03:37]

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今天从事科学工作的人中，没有人曾在美国一个我们不是——引用一下，“获胜”的时代从事过科学工作。
Nobody who’s practicing science today has practiced science in the United States in a time where we weren’t, quote unquote, winning.
—— Renee Wigerzen · [01:16]

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我们资助科学的方式是不可持续的，对吧？
The way that we fund science is not sustainable, right?
—— Renee Wigerzen · [04:49]

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今天从事科学的人，没有一个是在美国不“赢”的时代里做过科学的。
Nobody who’s practicing science today has practiced science in the United States in a time where we weren’t, quote unquote, winning.
—— Renee Wigerzen · [26:58]

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