为什么用户拥有的数据是下一代AI的新油

这是AI公司希望收获的所有数据。如果没有良好的数据，您将无法建立良好的AI，这就是为什么许多人将数据视为“新石油”的原因

You’re swimming in data. If your health app counts your steps? That’s new data. The Oura ring that’s tracking your bio-metrics? Valuable data. Your social media posts, even the stupid jokes that got zero likes? More data.

您正在游泳数据。如果您的健康应用程序计算您的步骤？那是新数据。正在跟踪您的生物量管的URA戒指？有价值的数据。您的社交媒体帖子，甚至是零喜欢的愚蠢笑话？更多数据。

This is all data that AI companies would love to harvest. You can’t build good AI without good data, which is why many view data as the “new oil’ in the race for AI. The problem, though, is that while your data is valuable in theory, the reality is that it’s hard to monetize your own personal data, as you have no leverage as an individual. (Open AI isn’t knocking at your door to buy your old tweets.)

这是AI公司希望收获的所有数据。如果没有良好的数据，您将无法建立良好的AI，这就是为什么许多人将数据视为AI比赛中的“新油”。但是，问题是，尽管您的数据在理论上很有价值，但现实是，很难将自己的个人数据货币化，因为您没有个人的杠杆作用。

But you do own your data. And it’s valuable… if you can somehow join forces with millions of others who also own their data. This would give you bargaining power. And that’s the mission of Vana: To create an ecosystem for user-owned data, which in turn fuels user-owned AI.

但是您确实拥有数据。而且这很有价值……如果您可以以某种方式与数百万也拥有他们数据的其他人一起联手。这将为您提供议价能力。这就是VANA的任务：为用户拥有的数据创建一个生态系统，这反过来源自用户拥有的AI。

That ecosystem involves a mix of Data DAOs (a “labor union” for data), decentralized data marketplaces, the recently launched VRC-20 token, and a new collaboration with Flower Labs to build the world’s first user-owned foundational model. (Exhibit A that Decentralized AI is creeping into the mainstream: The Vana/Flower collaboration was covered by WIRED.)

该生态系统涉及数据DAO（数据的“工会”），分散的数据市场，最近推出的VRC-20代币以及与Flower Labs建立世界上第一个用户拥有的基础模型的新合作。 （展览A分散的AI正在蔓延到主流中：Vana/Flower合作被有线覆盖。）

Anna Kazlauskas, co-founder of Vana and CEO of Open Data Labs will give a keynote at the AI Summit at Consensus 2025 discussing this vision in more detail, but she gives an overview here. And she sees the momentum shifting as more people become aware of the implications of their data and the role it plays in AI.

Vana的联合创始人Anna Kazlauskas，开放数据实验室的首席执行官将在共识2025的AI峰会上为主题演讲，更详细地讨论了这一愿景，但她在此处概述了。随着越来越多的人意识到其数据的含义及其在AI中的作用，她看到了势头的变化。

“We're already starting to see this shift where more people realize that, ‘My data is really important for AI’ and ‘I’m actually the owner of that,’” she says, adding that she predicts in a few years there will be over 100 million users in this ecosystem. In 10 years? “World population. Above 10 billion.”Why is user-owned data so important to you?

她说：“我们已经开始看到这一转变意识到，'我的数据对AI确实很重要'，而'我实际上是那个的所有者'。” 10年？ “世界人口。超过100亿。”为什么用户拥有的数据对您如此重要？

Anna Kazlauskas: Most people assume data is owned by the platforms that it's sitting on, but that's not the case. In the same way that when you put your car in a parking lot, the parking lot doesn't own your car. You can always take it back. You have full ownership over it.

安娜·卡兹劳斯卡斯（Anna Kazlauskas）：大多数人认为数据归其坐在的平台拥有，但事实并非如此。就像将汽车放在停车场时一样，停车场不拥有您的汽车。您可以随时将其收回。您对此有充分的所有权。

And there's a huge amount of money being made today, mostly by big tech companies, off of that data, but users are the legal owners. So I think it's important that we restore that ownership, both from a user perspective and from a developer's perspective.

当今的数据主要由大型科技公司（主要是大型科技公司）赚取的大量资金，但用户是合法所有者。因此，我认为从用户的角度和开发人员的角度来恢复所有权很重要。

Can you connect the dots of how this helps developers?

您可以连接其如何帮助开发人员的点吗？

As a developer, especially in an AI world, having access to the right data is really important. And it's super hard to do right now, because most of the data is locked up within the walled gardens of big tech. So many of my really smart friends who do stuff in AI go work at the big labs, because that's where the data is and that’s where the compute is. But that doesn't have to be the case.

作为开发人员，尤其是在AI世界中，可以访问正确的数据确实很重要。现在很难做到这一点，因为大多数数据都锁定在大型技术的围墙花园中。我在AI中做事的许多真正聪明的朋友去大型实验室工作，因为那是数据所在，而这就是计算的所在地。但事实并非如此。

How do Data DAOs fit into this vision exactly?

数据如何完全适应这个愿景？

So a DataDAO is kind of like a labor union for data. Where basically you have a large group of people who pool their data together, and then can make collective decisions over what happens to that data.

因此，datadao有点像一个用于数据的工会。基本上，您有一大批人一起汇总数据，然后可以在该数据发生的事情上做出集体决策。

The reason why that's important is that your data, on its own, is not that useful, right? It's much more useful when there's a big pool of it. When there’s enough of it to train an AI model.

之所以如此重要的是，您的数据本身并不有用，对吗？当它有很大的水池时，它会更有用。当它足够训练AI模型时。

What are some of the Data DAOs you’re most excited by?

您最兴奋的Daos是哪些数据？

There are a few in the health space that are really interesting. There's an early one that's actually doing full exports of patient medical records, which I think can really help advance a lot of research in the space. There's some related to biometrics, sleep, and health. There’s one with the DLP [Driver Loyalty Program] Labs; they’re building car data. And within their data-set, the Tesla data is really interesting because most people think about Tesla as valuable because they have a data lead, actually the users can get a lot of that data-set.

健康空间中有一些真的很有趣。实际上，有一个早期的患者病历出口，我认为这确实可以帮助您推进该空间中的大量研究。与生物识别技术，睡眠和健康有关。 DLP [驱动程序忠诚度计划]实验室有一个；他们正在构建汽车数据。在他们的数据集中，特斯拉的数据确实很有趣，因为大多数人认为特斯拉是有价值的，因为他们具有数据线索，实际上用户可以获得很多数据集。

You’re pivoting from theory to practice with the new collaboration with Flower Labs to build COLLECTIVE-1. What’s the goal there?

您从理论到与Flower Labs的新合作以构建Collective-1进行练习。那里的目标是什么？

We're launching COLLECTIVE-1, which is the world's first user-owned foundation model. Usually when people think about a foundation model they typically think of one company running a very large training job in a single data center, like OpenAI or something like

我们正在启动Collective-1，这是世界上第一个用户拥有的基础模型。通常，当人们考虑基础模型时，他们通常会想到一家公司在单个数据中心（例如Openai）或类似的东西进行大型培训工作