AI Whistleblower: We Are Being Gaslit By The AI Companies! They’re Hiding The Truth About AI!

章节 1：开场与引言：踏入“AI帝国”的调查之路

📝 本节摘要：

本节为访谈的开篇。主持人引入话题，并就AI行业的“优胜劣汰”规律提出疑问，认为利用AI加速研究的文明可能成为更高级的文明。科技记者Karen Hao直接反驳，指出当下巨头正在利用这种神话制造恐慌以榨取大众利益，并深刻揭示了AI行业的“帝国”本质，包括劳动力剥削、知识产权攫取和环境危机。随后，Karen分享了她从麻省理工学院机械工程系跨界进入科技新闻领域的旅程，以及她历时多年、采访超两百人以撰写《AI帝国》一书的心路历程。为了照顾普通听众，主持人提议在后续交流中尽量避开深奥的技术术语，将对话保持通俗易懂。

[原文] [Speaker A]: so much of what's happening today in the AI industry is extremely inhumane but this is me playing devil's advocate and logically it could be the case that the civilization that accelerate their research with AI is going to be the superior civilization

[译文] [主持人]: 如今在AI（人工智能）行业发生的许多事情极其不人道，但我在这里充当一下“魔鬼代言人”，从逻辑上讲，利用AI加速其研究的文明有可能成为更高级的文明。

[原文] [Speaker B]: no it's not this is a prediction that you're making right making Zuckerberg's making and do you know what the common feature of all of them is they profit enormously off of this myth you know I have all these internal documents showing that they're purposely trying to create that feeling within the public so that they can extract and exploit and extract and exploit

[译文] [嘉宾]: 不，并不是这样的，这是一个你正在做出的预测，对吧，马克·扎克伯格（Zuckerberg）也在做出的预测，而且你知道他们所有人的共同特征是什么吗？他们从这个神话中赚取了巨额利润，你知道我掌握了所有这些内部文件，证明他们是在故意试图在公众中制造这种感觉，以便他们能够榨取、剥削、再榨取、再剥削。

[原文] [Speaker A]: so what do we do about it

[译文] [主持人]: 那我们该怎么做？

[原文] [Speaker B]: we need to break up the empires of AI you know I've been covering the tech industry for over 8 years interviewed over 250 people including former or current OpenAI employees and executives and I can tell you that there are many parallels between the empires of AI and the empires of old right like Lelay claimed the intellectual property of artists writers and creators in the pursuit of training these models second they exploit an extraordinary amount of labor which breaks the career ladder because someone gets laid off and then they work to train the models on the very job that they were just laid off in which will then perpetuate more layoffs if that model then develops that skill and when they talk about that there's going to be some new jobs created that we can't even imagine a lot of the jobs that are created are way worse than the jobs that were there and then there's the environmental and public health crisis that these companies have created and how they're able to also spend hundreds of millions to try and kill every possible piece of legislation that gets in their way and will censor researchers that are inconvenient to the empire's agenda but what I'm saying is not that these technologies don't have utility it's that the production of these technologies right now is exacting a lot of harm on people but we have research that shows that the very same capabilities could be developed in a different way that doesn't have all of these unintended consequences so let's talk about all of that

[译文] [嘉宾]: 我们需要打破AI帝国的垄断，你知道我报道科技行业已经超过8年了，采访了超过250人，包括前任或现任OpenAI员工和高管，我可以告诉你，这些AI帝国和古老的帝国之间有许多相似之处，比如他们为了训练这些模型而声称拥有艺术家、作家和创作者的知识产权（Intellectual Property）；其次，他们剥削了海量劳动力，这打破了职业上升通道，因为有人被裁员后，却要去训练那些能替代他们刚失去的工作岗位的模型，如果该模型掌握了这项技能，就会导致更多的裁员；当他们谈论说会创造出我们甚至无法想象的新工作时，其实很多被创造出来的工作比原本的工作还要糟糕得多；此外，这些公司还造成了环境和公共卫生危机，他们还能豪掷数亿美元试图扼杀任何可能阻挡他们的立法，并会审查那些对帝国议程造成不便的研究人员；但我要说的并不是这些技术没有实用价值（Utility），而是目前这些技术的生产过程正在对人们造成大量伤害，但我们的研究表明，同样的能力完全可以通过另一种没有这些意外后果的方式开发出来，所以让我们来谈谈所有这些吧。

[原文] [Speaker A]: this is super interesting to me my team given me this report to show me how many of you that watch this show subscribe and some of you have told us according to this that you are unsubscribed from the channel randomly so favor to ask all of you please could you check right now if you've hit the subscribe button if you are a regular viewer of the show and you like what we do here we're approaching quite a significant landmark on this show in terms of a subscriber number so if there was one simple free thing that you could do to help us my team everyone here to keep this show free to keep it improving year over year and week over week it is just to hit that subscribe button and to double check if you've hit it only thing I'll ever ask of you do we have a deal if you do it I'll tell you what I'll do i'll make sure every single week every single month we fight harder and harder and harder and harder to bring you the guests and conversations that you want to hear i've stayed true to that promise since the very beginning of the D of Sio and I will not let you down please help us really appreciate it let's get on with the show karen how you've written this book in front of me here called Empire of AI: Dreams and Nightmares in Sam Alman's Open AI i guess my first question is what is the research and the journey you went on in order to write this book we're going to talk about and the subjects within it today

[译文] [主持人]: 这对我来说非常有趣，我的团队给了我这份报告，向我展示了看这个节目的你们中有多少人订阅了，根据报告，你们中有些人告诉我们，你们被随机取消订阅了频道，所以想请你们帮个忙，如果您是本节目的常客并且喜欢我们在这里做的内容，能否现在检查一下是否点击了订阅按钮；我们这个节目的订阅人数正在接近一个相当重要的里程碑，所以如果有一件简单的免费事情你可以做来帮助我们、我的团队以及这里的每个人保持这个节目免费并让它年复一年、周复一周地改进，那就是按下那个订阅按钮并再次检查你是否按下了；这是我唯一会要求你们做的事，我们达成共识了吗？如果你做了，我会告诉你我将怎么做，我将确保每一周、每一个月我们都会越来越努力地为你带来你想听到的嘉宾和对话；自《CEO日记》开播以来，我一直坚守着这个承诺，我不会让你们失望的，请帮助我们，非常感激，让我们回到节目中；卡伦（Karen），你在我面前写了这本名为《AI帝国：萨姆·奥特曼的OpenAI中的梦想与梦魇》（Empire of AI: Dreams and Nightmares in Sam Alman's Open AI）的书，我想我的第一个问题是，为了写这本书、以及今天我们要谈论的其中主题，你进行了怎样的研究，经历了怎样的旅程？

[原文] [Speaker B]: I took a strange route into journalism I studied mechanical engineering at MIT and so when I graduated I moved to San Francisco I joined a tech startup I became part of Silicon Valley and I basically received an education in what Silicon Valley is about because a few months into joining a very missiondriven startup that was focused on building technologies that would help facilitate the fight against climate change the board fired the CEO because the company was not profitable and this was in hindsight a very pivotal moment for me because I thought if this hub is ultimately geared towards building profitable technologies and many of the problems in the world that I think need solved are not profitable problems like climate change then what are we actually doing here like what how did we get to a point where innovation is not actually necessarily working in the public benefit and sometimes even undermining the public benefit in pursuit of profit in that moment I had a bit of a crisis where I thought well I just spent 4 years trying to set myself up for this career that I now don't think I am cut out for and I thought well I might as well just try something totally different i've always liked writing and that's how after 2 years I landed at a role at MIT technology review covering AI full-time and that gave me a space to then explore all of these questions of who gets to decide what technologies we build how does money and ideology also drive the production of those technologies and how do we ultimately make sure that we actually reimagine the innovation ecosystem to work for a broad base of people all around the world and so that is kind of how I then set off on this journey of ultimately writing a book i didn't realize that I was working towards writing a book but starting in 2018 when I took that job was essentially the moment in which I began researching the story that I I document in it

[译文] [嘉宾]: 我踏入新闻业的路径有些奇特，我在麻省理工学院（MIT）学习机械工程，所以毕业后我搬到了旧金山（San Francisco），加入了一家科技初创公司（Startup），我成为了硅谷（Silicon Valley）的一部分，并基本上接受了一场关于硅谷究竟是怎么回事的教育；因为在加入一家非常由使命驱动的初创公司（该公司专注于开发有助于对抗气候变化的技术）几个月后，董事会解雇了CEO，原因是公司没有盈利；事后看来，这对我来说是一个非常关键的时刻，因为我在想，如果这个中心最终的目的是开发能够盈利的技术，而世界上我认为需要解决的许多问题（比如气候变化）却不是有利可图的问题，那么我们实际上在这里做什么呢？比如，我们是如何走到这样一步的——创新其实不一定是为了公共利益服务，有时甚至在追求利润的过程中破坏公共利益？在那一刻，我经历了一点危机，我想，好吧，我刚花了4年时间试图为自己的职业生涯做准备，但我现在认为自己并不适合它；我想，好吧，我不如就尝试一些完全不同的事情，我一直喜欢写作，这也是为什么两年后，我获得了在《麻省理工科技评论》（MIT Technology Review）全职报道AI的职位；这给了我一个空间来探索所有这些问题：谁有权决定我们构建什么样的技术？金钱和意识形态（Ideology）又是如何驱动这些技术的生产的？我们最终如何确保我们真正重新构想创新生态系统，使其能为全世界广泛的大众服务？这大概就是我踏上写书之旅的过程，我一开始并没有意识到我正朝着写书的方向努力，但从2018年我接下那份工作开始，本质上就是我开始研究所记录的这个故事的时刻。

[原文] [Speaker A]: a very timely time to start working in artificial intelligence for anyone that doesn't know this is pre OpenAI chat GPT launch moment that shook the world but in writing this book you interviewed a lot of people and went to a lot of places can you give me a flavor of how many people you've interviewed where it's taken you around the world etc

[译文] [主持人]: 这是一个开始在人工智能领域工作的非常及时的时间点，对于不知道的人来说，这是在OpenAI发布ChatGPT这一震撼世界的时刻之前；但是在写这本书时，你采访了很多人，去了很多地方，你能给我大概讲讲你采访了多少人，它带你去了世界各地的哪些地方等等吗？

[原文] [Speaker B]: i interviewed over 250 people so over 300 interviews over 90 of those people were former or current OpenAI employees and executives so the book covers the inside story of opening eyes's first decade and how it ultimately got to where it is today but I didn't want to write a corporate book i felt very strongly that in order to help people understand the impact of the AI industry we would also have to travel well beyond Silicon Valley these companies tell us that AI is going to benefit everyone and that's their mission but you really start to see that rhetoric break down when you go to the places that look nothing like Silicon Valley that speak nothing like Silicon Valley and that have a history and culture that are fundamentally different as well and that's where you start to really understand the true reality of how this industry is unfolding around us

[译文] [嘉宾]: 我采访了超过250人，进行了超过300次采访，其中超过90人是前任或现任的OpenAI员工和高管；所以这本书涵盖了OpenAI前十年的内幕故事，以及它是如何走到今天这一步的；但我不想写一本关于企业的书，我强烈感觉到，为了帮助人们理解AI行业的影响，我们也必须走到远超硅谷的地方；这些公司告诉我们AI将使所有人受益，那是他们的使命，但当你去了那些看起来一点也不像硅谷、语言和硅谷毫无关系、历史和文化也完全不同的地方时，你真的开始看到那种修辞正在瓦解；在那里，你才真正开始理解这个行业在我们周围展开的真实面貌。

[原文] [Speaker A]: karen I often try and steer conversations but in this situation I feel like it's probably my responsibility to follow so with that in mind I'm going to ask you where does this journey begin and where should we be starting if we're talking about the subjects of empire of AI AI generally artificial intelligence and also I'd say one thing I'm really keen to do in this conversation which is I often see in conversations is left out is let's assume that our viewers know nothing about AI yeah so they don't know what scaling laws are or GPUs or comput or whatever and let's try and keep this as simple as we possibly can in terms of language or explain all the complicated language so that we can bring as much people with us as we possibly can yes where should we start

[译文] [主持人]: 卡伦，我通常会试着主导对话，但在这种情况下，我觉得我的责任可能是跟随；考虑到这一点，我想问你，这段旅程是从哪里开始的？如果我们谈论《AI帝国》的主题，谈论一般意义上的AI（人工智能），我们应该从哪里开始？还有，我想说在这场对话中我非常渴望做的一件事——这是我经常看到在其他对话中被遗漏的——那就是让我们假设我们的观众对AI一无所知，是的，所以他们不知道什么是“缩放定律”（Scaling Laws），什么是GPU，什么是计算力（Compute）等等；让我们试着在语言上保持尽可能简单，或者解释所有复杂的术语，以便我们尽可能带上更多的人一起探讨，是的，我们应该从哪里开始？