When cookies were the progeny of “magic cookies”, they were seemingly innocuous packets of e-commerce data that stored a user’s partial transaction state on their computer. It wasn’t disclosed that you were playing a beneficial part in a much larger system, and you didn’t have a choice on accepting your role.

当cookie是“魔术cookie”的后代时，它们似乎是无害的电子商务数据包，它们在计算机上存储了用户的部分交易状态。 没有透露您在更大的系统中扮演着有益的角色，并且您没有选择接受角色的选择。

Imagine a stranger slipping a packet into your pocket. And then that stranger regularly slips their hand back into your pocket to check on it, because unbeknownst to you that packet has the power to gather and store all sorts of information about you. For over two whole years, some (ingenious) weirdos were doing this virtually unnoticed until the Financial Times reported on the phenomena in 1997. Unnerving? Sure. Yummy? Nope.

想象一个陌生人将一小包滑入你的口袋。 然后那个陌生人经常把手伸回你的口袋里检查它，因为你不知道那个小包有能力收集和存储关于你的各种信息。 在过去的两年中，直到1997年英国《 金融时报》报道这种现象之前，一些(怪异的)怪异者几乎没有注意到这一点。 当然。 好吃？ 不。

Today those weirdos are a lot more obvious: I bump into them at least 10 times a day. What was supposed to transform the internet into a safer, more privacy-preserving place — making this activity conspicuous and consensual via cookie consent banners — is just exposing what an unpleasant place the internet can be.

今天，这些怪异现象变得更加明显：我每天至少碰到10次。 旨在将互联网转变为更安全，更具隐私保护的场所的目的(通过Cookie同意横幅使该活动引人注目并达成共识 )只是在揭露互联网可能令人不快的地方。

Abzu.ai上没有cookie同意横幅 (There are no cookie consent banners on Abzu.ai)

There are no cookie consent banners on Abzu.ai because we only use strictly necessary cookies and session cookies. Check out our privacy policy — it’s pretty straightforward.

Abzu.ai上没有cookie同意横幅，因为我们仅使用严格必要的cookie和会话cookie。 查看我们的隐私政策 -这非常简单。

Our cookie policy is simple: Start with a question, not with data.

我们的Cookie政策很简单： 从问题开始，而不是数据。

Data is universally available. What is scarce is the foresight to synthesize information from your data. You’re constantly being mined and monitored in innumerous domains for innumerable ilk of data, because starting with data is unscientifically easy. Asking the question first, building a model to test the hypothesis: now that’s the hard part.

数据是普遍可用的。 缺乏从 数据中 综合信息的远见卓识 。 您会在无数域中不断挖掘和监视大量数据，因为从数据开始非常简单。 首先提出问题，建立一个模型来检验假设：现在这是最困难的部分。

In a vacuum of critical thinking by controllers — and until recently a vacuum of enforced policies — the equation reversed. The direction of computation should have been: “What data do we need to answer our question?” But in an abundance of raw material (your personal data), controllers floated along a lazy river fed by tributaries of data-collection and allowed the flow of data to define what to do next. Data drove operations and decisions. When controllers let data tell them what to do next, data simply said it wanted more data.

在管制员批判性思维的真空中-直到最近，在强制执行政策的真空中 -方程逆转了。 计算的方向应该是：“我们需要什么数据来回答我们的问题？” 但是，在大量的原材料(您的个人数据)中，控制器沿着一条由数据收集支流支配的懒惰河漂浮着，并允许数据流定义下一步要做什么。 数据推动运营和决策。 当控制器让数据告诉他们下一步该怎么做时，数据只是说它想要更多的数据。

But controllers forgot to consider that data doesn’t imply correlation. It’s easy to assume or overestimate a link between variables. Continue adding personal information to the equation, and now it’s conclusion-by-conspiracy-wall because dependencies and critical thinking didn’t originate the function. If it sounds like you’re talking crazy or jumping to conclusions, you probably just need more data.

但是控制器忘记考虑到数据并不意味着相关 。 很容易假设或高估变量之间的联系。 继续将个人信息添加到等式中，现在这是按阴谋论得出的结论，因为依存关系和批判性思维并非源自此功能。 如果听起来您是在疯狂地谈论话题或正在得出结论，那么您可能只需要更多数据。

I’ve been that controller: the marketing professional who rejected Occam’s razor and thoughtful planning. Instead I embraced unnecessary complexity and an overabundance of data simply because I could, and because users let me. Friendly interfaces and, frankly, conveniences in consumption journeys obscured the computational misdirection (data first, questions later) and the magnitude of what was going on.

我一直是那个控制者：拒绝Occam的剃须刀和周到的计划的营销专家。 相反，我之所以接受不必要的复杂性和数据过多是因为我可以，并且因为用户允许我。 友好的界面以及坦率的说，在消费旅程中的便利性掩盖了计算的误导(首先是数据，随后是问题)以及正在发生的事情。

Granted, some really interesting interrelated behaviors surfaced because we are mostly predictable beings for all our impulsive and irrational behavior. But without a hypothesis to solve, or any forethought, there is no promise that you’ll generalize correctly. And there are consequences to allowing companies such intimacy and accessibility into so many aspects of our lives — consequences to playing god with big systems.

当然，出现了一些非常有趣的相互关联的行为，因为我们对于所有冲动和非理性行为都是可以预见的。 但是，如果没有要解决的假设或任何预先考虑，就无法保证会正确地进行概括。 允许公司如此亲密和可访问性进入我们生活的许多方面会产生后果，这是在大型系统中扮演上帝的后果 。

以人为本的技术意味着放弃上帝模式 (Human-centric technology means giving up God mode)

We’ve been creating new tools but for the same old urges. We’re still trying to play god, to take and hoard and monitor more than we should before we have divined a direction. Is anyone surprised that our inventions reflect our biases, avarice, and prejudices?

我们一直在创建新工具，但出于相同的旧追求。 我们仍然在尝试神，要占卜和监视比我们确定方向之前更多的事情。 有人会对我们的发明反映出我们的偏见 ， 贪婪和偏见感到惊讶吗？

When we talk about making humane tech or human-centered AI, what we really mean is giving up God mode. We mean making decisions thoughtfully and responsibly.

当我们谈论制造以人为本的技术或以人为本的AI时，我们真正的意思是放弃上帝模式。 我们的意思是周到负责的决策 。

Metering our activities doesn’t mean we throttle possibilities or become narrow-minded! It means that we become more of our best selves: communal rather than individual, explorers over conquerors, hunters instead of gatherers, creative in lieu of one-track-minded.

对我们的活动进行计量并不意味着我们会扼制可能性或变得狭narrow！ 这意味着我们更多地成为了自己 ：集体而非个人，征服者的探索者，猎人而不是收集者，富有创造力，而不是一心一意。

At Abzu, we’re for lean data and human-centric technology. We’re for self-organization. We’re not for control by external agents, which is why we’ll never ask for anything we don’t need.

在Abzu，我们追求精益数据和以人为本的技术。 我们是为了自我组织。 我们不希望由外部代理控制，这就是为什么我们永远不会索要不需要的东西的原因。

We start with questions, and we answer through data, not by ineffectively digging through limitless data sets.

我们从问题开始，然后通过数据回答，而不是无效地挖掘无限的数据集。

We listen to our users to get a sense of their needs. We conduct personalized interviews. We hand-hold, we white-glove, and we hug because we embrace our humanity. And we firmly believe we aren’t the crazy ones.

我们倾听用户的声音，以了解他们的需求。 我们进行个性化采访。 我们握住，白色手套，拥抱，因为我们拥抱人类。 我们坚信我们不是疯子。