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Labs

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本站收录 2 集 · 29 条金句 · 关联 10 个

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29 条

AI 将在未来非常重要和丰富，并不一定意味着所有的价值都将被这些 AI 实验室捕获。
AI is going to be hugely important and abundant in the future does not necessarily mean that all the value is going to be captured by these AI labs.
—— Patrick Collison · [25:00]

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不幸的是,前沿实验室确实有小模型,但你无法真正以你想要的方式控制它们。
Unfortunately, the Frontier labs, they do have small models, but you can’t really control them in the way that you want.
—— Ashwin Srinivas · [00:27]

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如果你是一家应用层公司，与前沿实验室竞争是一场不公平的游戏。有富有的团队，有贫穷的团队，然后还有我们这些应用层的。
And it’s an unfair game competing with the Frontier Labs if you’re an application layer company. There are rich teams, there are poor teams, and then there’s us in the application layer.
—— Gabe Pereyra · [00:51]

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但今天，利用前沿生态系统，我认为你可以与前沿实验室竞争，并构建前沿智能。
But today, using the Frontier ecosystem, I think you can compete with the Frontier Labs and build Frontier Intelligence.
—— Gabe Pereyra · [01:37]

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我认为很多 AI 实验室想要抢在前面,确保围绕它有某种治理框架,以便他们能以自己想要的速度继续开发这项技术。
I think a lot of the AI labs want to get ahead of it, make sure there is some governance framework around it to ensure that they can keep developing the technology at the pace at which they’d like to.
—— Nikesh Arora · [05:59]

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我认为人们已经了解到，无论 AI 实验室在这些东西周围设置了什么护栏，你都不能依赖模型来阻止自己或理解上下文。
And I think what people have learned is that regardless of guardrails that the AI labs are putting around these things, you can’t rely on models to stop themselves or to understand context.
—— Nick Warner · [07:16]

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供应限制将在 2028 年左右缓解。我认为大型实验室按美元加权可能会获得未来 80% 的市场份额，因为这是我们历史上看到的大型在位者的情况。但我认为按 token 加权，60% 将是长尾和开源。
Supply constraints will ease in 2028-ish. I think that the big labs will probably dollar weighted, get 80% of the market going forward because that’s historically what we’ve seen for large incumbents. But I think token weighted 60% will be long tail and open source.
—— Martin Casado · [16:39]

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称开源模型为中国模型是前沿实验室的一种心理战，基本上是欺骗人们认为它们很可怕并将它们异类化。
Calling open source models Chinese models is a PSYOP by the Frontier Labs to basically trick people into thinking that they’re scary and otherize them.
—— Eno Reyes · [00:36]

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实验室内部的薪酬包非常慷慨，比 FAANG 公司还要慷慨得多，而这在五六年前是不成立的。
The comp packages are very generous within the labs, much more so than the FAANG companies, which was not true five or six years ago.
—— Amandeep Khurana · [16:58]

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我认为在几乎所有可能的演进场景中，绝大部分的利润美元仍会流向闭源实验室。
And I think the vast majority of the dollars in profit will still go to the closed labs in almost all scenarios that this plays out.
—— Aaron Levie · [19:12]

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从地缘政治角度说，如果西方国家试图把来自非西方国家的开源模型做分叉切断，限制它们在西方国家内的可用性，强迫人们使用前沿实验室的模型，我认为那是一个非常糟糕的主意。
Geopolitically, I think it’s a very bad idea, if Western countries were to try to bifurcate the open-source models coming from non-Western states, restricting their availability within Western states and forcing use of frontier labs.
—— Eric Simons · [22:24]

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对我们来说，我们想在定价上变得非常激进。这里正在发生的巨大变化是，开源模型真的在追赶那些实验室。
For us, we want to get really aggressive on pricing. The big sea change happening here is that open-source models are really catching up with the labs.
—— Eric Simons · [24:52]

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我们的前沿实验室明显领先于中国的前沿实验室，很大程度上是因为我们有更好的硅片。
Our frontier labs are meaningfully ahead of the Chinese frontier labs in no small part because we have better silicon.
—— Zavain Dar · [26:37]

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如果研究实验室不拥有最好的产品，那才真是疯了，因为他们拿到了所有关于人们如何使用他们产品的数据。
It would be really wild if the research labs didn’t have the best product, because they’re getting all of this data on how folks are using their products.
—— Demetrios Brinkmann · [38:34]

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由此得出的预测是：前沿实验室在 RL 环境上现在未必有多大优势——如果真有的话。
I think the prediction from this is that the frontier labs don’t necessarily have much of an advantage, if at all, in aural environments now.
—— 嘉宾 · [23:46]

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我们最近拉了数据,仅仅在最近两年,YC 就投资了超过十几家公司,它们每家每年靠向实验室出售数据或 RL 环境赚取超过 1000 万美元。
We pulled the data recently, and just in the last two years, YC has funded more than a dozen companies that are each making more than $10 million a year selling data or RL environments to the labs.
—— Jared · [23:29]

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据报道,大型实验室在这个上面大约花十亿美元。这不是一个广为人知的事实,但其实围绕这个可以建立起一门真正的生意。
Reportedly, the big labs are spending about a billion dollars on this. It’s not a very known fact, but there’s actually a real business to be built around this.
—— Diana · [24:58]

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甚至在我看来,连中国现在正在建造 AI 的那些实验室,我都会把他们归类为好人。
I would take even, in my opinion, even the labs in China that are building AI right now, I would classify them as good guys.
—— Daniel Dines · [14:55]

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实验室比我们所有人拥有多得多的 alpha，所以如果他们说这是你应该做的事，那你就应该去做。
the labs have way more alpha than any of us, so if they say this is a thing you should do, then you should go do it.
—— Dex Horthy · [09:30]

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那么我认为答案是，我们必须把实验室关掉。
Then I think the answer is we have to shut the labs down.
—— Jensen Huang · [38:15]

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Frontier 实验室内部以及机器人基础模型公司之间存在某种共识，那就是我们将在未来两年内甚至更早拥有通用机器人。
There’s some consensus within the Frontier Labs and also in the Robotics Foundation models companies that will have general-purpose robots within the next two years or even earlier.
—— Jay · [26:32]

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我几乎试遍了市面上所有的 AI 语音工具，除了 Eleven Labs 之外没有一个能用。
So I’ve tried almost every AI voice tool out there and none of them work except for Eleven Labs.
—— 嘉宾 · [22:33]

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它最终大概会发生,但实验室们似乎对在其他方面爬坡更感兴趣,比如计算机使用和其他前沿领域——软件可维护性那最后 10% 可能和过去三四年我们花功夫的前 90% 一样难,甚至更难。
It will probably eventually happen, but it seems like the labs are much more interested in like hill climbing on other sorts of things like computer use and other like frontiers that like the last 10% of software maintainability may be like as hard or harder than the whole first 90% that we spent the last three or four years on.
—— Dex Horthy · [06:30]

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它来自前沿实验室，他们已经发现，每当他们发布一个版本，说他们的产品强大得不可思议、能入侵系统等等，他们的使用量就会上升。
It’s coming from the frontier labs who have learned that every time they put a release out, that their products are incredibly powerful and can hack a system, et cetera. Their usage goes up.
—— Jason · [34:40]

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它实际上变得更差了。大型实验室下的赌注是，扩展通用智能就会扩展教学能力。不幸的是，情况并非如此。
It’s actually getting worse. The bet that the big labs have made is that scaling general intelligence is going to scale pedagogical capacity. Unfortunately, that has not been the case.
—— 嘉宾 · [45:55]

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至少 AI 实验室非常有动机不去诚实地回答这个问题。
At least the AI labs are very incentivized to not answer that truthfully.
—— Diogo Almeida · [04:28]

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我的论点是：每家公司都需要开始像 Labs 团队一样思考和运作。
My thesis is that every company needs to start thinking and operating like a Labs team.
—— Lenny · [00:00]

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所以这里的恐惧在于，如果这些密码学标准可破解，AI 实验室可能会破解它们。
And so the fear here is that the AI labs could break them if they are breakable.
—— Liz Harkaby · [06:26]

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这些实验室在信息方面的安全性没有他们想的那么高。
The security at these labs in terms of information is not as high as they think.
—— Nathan Lambert · [52:49]

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