大型科技、军工联合体和联邦政府的危险融合

最近有消息称，OpenAI 首席执行官萨姆·奥尔特曼 (Sam Altman) 向拜登政府提出大规模建设人工智能 (AI) 数据中心的计划，这应该会引起人们的关注。

Recent news that OpenAI CEO Sam Altman pitched the Biden Administration on a massive build-out of artificial intelligence (AI) data centers should raise the alarm on a dangerous convergence: the alliance of Big Tech with the Military-Industrial Complex and the federal government. The move, reported in Zero Hedge, outlines Altman’s proposal for a network of advanced AI centers ostensibly to bolster American technological leadership. But this proposed marriage of Silicon Valley’s emerging AI technologies with federal power—and particularly with the Pentagon and intelligence agencies—poses critical threats to individual privacy and freedom of thought.

最近有消息称，OpenAI 首席执行官萨姆·奥尔特曼 (Sam Altman) 向拜登政府提出大规模建设人工智能 (AI) 数据中心的建议，这应该对危险的融合敲响警钟：大型科技公司与军工联合体和联邦政府结盟。 《零对冲》报道的这一举措概述了奥特曼关于建立先进人工智能中心网络的提议，表面上是为了增强美国的技术领先地位。但硅谷新兴人工智能技术与联邦权力（尤其是五角大楼和情报机构）的联姻对个人隐私和思想自由构成了严重威胁。

For years, we’ve witnessed a steady erosion of privacy at the hands of both corporate giants and government institutions. From Facebook’s—now Meta (NASDAQ: META)’’s—data scandals to intelligence agency overreach through programs like PRISM or Project Mockingbird.

多年来，我们目睹了企业巨头和政府机构对隐私的不断侵蚀。从 Facebook（现为 Meta（纳斯达克股票代码：META））的数据丑闻到情报机构通过 PRISM 或 Project Mockingbird 等项目进行的越权行为。

Just imagine what goes on at the Central Intelligence Agency’s (CIA) venture capital arm at “In-Q-Tel” designed to invest in start-ups with strategic goals that align with the Agency’s. The combined power of federal authorities and tech behemoths has continually demonstrated a desire to sidestep individual rights in pursuit of their own interests.

想象一下中央情报局 (CIA) 的风险投资部门“In-Q-Tel”正在发生什么，该部门旨在投资与该机构战略目标一致的初创企业。联邦当局和科技巨头的联合力量不断表现出为了追求自身利益而回避个人权利的愿望。

In a similar vein to classic Big Tech consolidation, the Crypto Open Patent Alliance (COPA), which includes Silicon Valley giants like Block, Meta and (Sam Altman’s) WorldCoin, has ambitions in the blockchain, fintech and AI spaces with lots of overlap in sectors of particular interest to the surveillance state.

与经典的大型科技整合类似，加密货币开放专利联盟（COPA）包括 Block、Meta 和（萨姆·奥尔特曼的）WorldCoin 等硅谷巨头，它们在区块链、金融科技和人工智能领域有着雄心勃勃的雄心，这些领域有很多重叠之处。监视国家特别感兴趣的部门。

When we talk about the convergence of tech giants and federal power, we are not talking about speculative risk. There is a long history of partnerships that have enabled overreach, surveillance, and censorship. Amazon’s (NASDAQ: AMZN) AWS hosting CIA databases, Palantir’s data analysis contracts for Immigration and Customs Enforcement (ICE), and Google’s (NASDAQ: GOOGL) scrapped Project Maven AI contract with the Pentagon are just a few examples of the increasingly blurry line between the public and private sectors.

当我们谈论科技巨头和联邦权力的融合时，我们并不是在谈论投机风险。长期以来，合作伙伴关系导致了过度扩张、监视和审查。亚马逊（纳斯达克股票代码：AMZN）托管 CIA 数据库的 AWS、Palantir 为移民和海关执法局（ICE）提供的数据分析合同以及谷歌（纳斯达克股票代码：GOOGL）与五角大楼取消的 Project Maven AI 合同只是其中几个例子，这表明两者之间的界限日益模糊。公共和私营部门。

As these companies further align their technologies and policies with those of federal authorities and intelligence agencies, the combination of corporate influence and government power could result in an environment where free expression, data privacy and open access to information become luxuries of a bygone era.

随着这些公司进一步将其技术和政策与联邦当局和情报机构的技术和政策保持一致，企业影响力和政府权力的结合可能会导致言论自由、数据隐私和信息开放获取成为过去时代的奢侈品。

AI has the capacity to democratize information and revolutionize productivity, yes. But it can also become a weapon for censorship and manipulation on an unprecedented scale. The curation of data used to train AI models becomes a choke point through which the flow of information can be filtered, edited and outright deleted before it even reaches public consciousness. As a result, powerful actors—whether corporate or governmental—can use this convergence to effectively rewrite social and historical narratives without public debate. It’s a digital “Ministry of Truth,” capable of silencing dissent or inconvenient ideas simply by controlling what AI deems “true.”

是的，人工智能有能力使信息民主化并彻底改变生产力。但它也可能成为前所未有的审查和操纵武器。用于训练人工智能模型的数据管理成为一个阻塞点，信息流在到达公众意识之前就可以通过该阻塞点进行过滤、编辑和彻底删除。因此，强大的参与者——无论是企业还是政府——可以利用这种融合来有效地改写社会和历史叙事，而无需公开辩论。它是一个数字“真理部”，能够通过控制人工智能认为“真实”的内容来压制异议或不方便的想法。

“OpenAI is actively working to strengthen AI infrastructure in the US, which we believe is critical to keeping America at the forefront of global innovation, boosting reindustrialization across the country, and making AI’s benefits accessible to everyone,” OpenAI recently told Bloomberg.

OpenAI 最近告诉彭博社：“OpenAI 正在积极努力加强美国的人工智能基础设施，我们认为这对于让美国保持全球创新的前沿、促进全国范围内的再工业化以及让每个人都能享受到人工智能的好处至关重要。”

However, consider the implications of Altman’s proposal. The deployment of government-funded AI data centers is a step forward in technological competitiveness, and I’m not debating that, but it also effectively hands the federal government a new apparatus to shape the development and use of AI technologies. By financing and guiding these technologies, the government gains a say in how they evolve, which means the frameworks for privacy, ethical standards and acceptable uses of AI are likely to align closely with federal interests.

然而，请考虑一下奥特曼提议的含义。政府资助的人工智能数据中心的部署是技术竞争力的进步，我对此并不争论，但它也有效地为联邦政府提供了一个新的机构来塑造人工智能技术的开发和使用。通过资助和指导这些技术，政府在它们如何发展方面获得了发言权，这意味着人工智能的隐私、道德标准和可接受的用途的框架可能与联邦利益密切相关。

When AI systems become the primary tools for information dissemination, news aggregation and even research, the question of who controls the curation process becomes a matter of extreme importance. These are tools that could make fact-checking impossible, enabling narratives to be cemented without recourse to alternative viewpoints. Governments and Big Tech have already shown their propensity to censor inconvenient ideas—whether through de-platforming, content moderation, or subtle tweaks to search algorithms. We have seen Mark Zuckerberg and Jack Dorsey admit, for example, that they allowed government agencies to censor criticisms of how the pandemic was handled and also suppressed the truth about Hunter Biden’s laptop!

当人工智能系统成为信息传播、新闻聚合甚至研究的主要工具时，谁控制策展过程的问题就变得极其重要。这些工具可能使事实核查变得不可能，使叙述能够在不诉诸其他观点的情况下得到巩固。政府和大型科技公司已经表现出了审查不便想法的倾向——无论是通过去平台化、内容审核还是对搜索算法的微妙调整。例如，我们看到马克·扎克伯格和杰克·多尔西承认，他们允许政府机构审查对流行病处理方式的批评，并压制有关亨特·拜登笔记本电脑的真相！

The result of Altman’s proposal becoming reality is much worse because it will enter into an atmosphere ripe for the perpetuation of disinformation campaigns that average people will soon be completely unable to decipher on their own.

奥特曼的提议成为现实的结果要糟糕得多，因为它将进入一种适合长期进行虚假信息宣传的氛围，而普通人很快将完全无法自己破译。

Why, you ask?

你问为什么？

Because we are entering an era where AI systems could be leveraged to automate censorship. Imagine an AI that flags or removes “misinformation” in real-time, using criteria set by corporate interests and government agencies. What counts as “harmful” or “false” becomes a question of political ideology rather than objective truth. And when these decisions are embedded in AI models—especially ones that become more sophisticated and integrated into our lives—it becomes nearly impossible to challenge them because we won’t even be able to research to find the truth. The speed at which AI moves and adapts

因为我们正在进入一个可以利用人工智能系统实现自动化审查的时代。想象一下，人工智能可以使用企业利益和政府机构设定的标准实时标记或删除“错误信息”。什么算作“有害”或“虚假”成为一个政治意识形态问题，而不是客观真理问题。当这些决策嵌入到人工智能模型中时——尤其是那些变得更加复杂并融入我们生活的模型——挑战它们几乎是不可能的，因为我们甚至无法通过研究来找到真相。人工智能移动和适应的速度