专栏名称: 比尔盖茨
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我最喜欢的关于AI的书 | 盖茨书单

比尔盖茨  · 公众号  · 科技自媒体  · 2024-12-08 15:00

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当人们问我关于人工智能的问题时,他们的问题往往归结为这一点:我应该担心什么,应该有多担心?过去一年,我的回答是建议他们读一读穆斯塔法·苏莱曼的《浪潮将至(The Coming Wave)》。这是我向国家元首、商界领袖和其他任何有此疑问的人推荐最多的一本关于AI的书,因为它提供了一种罕见的东西:对未来非凡机遇和真正风险的清晰看法。


作者穆斯塔法·苏莱曼对这个话题有着独特的见解。在帮助DeepMind从一家小型初创公司发展成为过去十年最重要的AI公司之一后,他又创立了Inflection AI,现在领导着微软的AI部门。但这本书的特别之处不仅在于穆斯塔法的亲身经历,更在于他对科学史和技术革命发展过程的深刻理解。他是一位严肃的知识分子,能够将几个世纪的科学进步进行有意义的类比。


对《浪潮将至》的大多数报道都聚焦于它对人工智能的论述上——这也在情理之中,因为它是有史以来关于AI的最重要书籍之一。可能没有人比穆斯塔法更有资格来写这本书了。2016年,当DeepMind的AlphaGo击败世界顶级围棋选手时,他就在现场。围棋是一种比国际象棋复杂得多的游戏,背后有着2500年的战略思考,而AlphaGo的行棋步法是从未有人想到过的。通过这一胜利,这个基于AI的计算机程序展示了机器可以在我们自己的游戏中打败人类,并让穆斯塔法提前瞥见了未来的趋势。


但使得他的书与众不同的,是穆斯塔法对AI的见解:人工智能只是前所未有的科学突破汇聚的一部分。基因编辑、DNA合成和生物技术的其他进步也在同步向前发展。正如书名所示,这些变化就像海面上的浪潮——对许多人来说仍然不可见,但它们正在积聚力量。每一项技术单独来看都足以改变游戏规则,而它们结合在一起,将重塑社会的方方面面。


历史学家尤瓦尔·赫拉利认为,在开发先进的AI之前,人类应该先弄清楚如何合作和建立信任。理论上,我同意这一观点。如果我有一个神奇的按钮,可以在30到40年内放慢这一进程,让人类有时间解决信任和共同目标的问题,我或许会按下它。但那个按钮并不存在。无论任何个人或公司做什么,这些技术都会被创造出来。


眼下,随着成本急剧下降和计算能力的增长,进展已经在加速。而推动发展的动力则来自于利润和权力的诱惑。此外,利益和权力也是推动发展的动力。国家与国家之间竞争,公司与公司之间竞争,个人与个人之间竞争荣誉和领导地位。这些力量使得科技进步势不可挡,同时也使得其更加难以控制。


在我关于AI的讨论中,我经常强调我们需要考虑的三大风险。首先是经济动荡的快速步伐。AI能会从根本上改变工作的本质,影响到几乎所有行业的工作,包括那些传统上被认为不受自动化威胁的白领职位。第二个风险是控制问题,即确保AI系统随着技术的进步,仍然与人类的价值观和利益保持一致的困难。第三个风险是,当不法分子掌握AI时,他们将变得更加强大,并且更有能力进行网络攻击、制造生物武器,甚至危害国家安全。


最后一个风险——赋能不法分子——引出了我们这个时代最大的挑战:遏制。我们如何在利用这些技术的好处的同时,限制它们的危险?这就是《浪潮将至》一书的核心问题,因为遏制是所有其他问题的基础。没有它,AI和生物技术的风险将变得更加尖锐。首先解决这个问题,我们才能创造解决其他问题所需的稳定和信任。


当然,说起来容易做起来难。


如核武器等以往的变革性技术可以通过物理安全和严格的访问控制来遏制,而AI和生物技术则带来了根本不同的挑战。它们越来越容易获取和负担得起,它们的发展几乎无法被察觉或监控,而且它们可以在幕后操作,只需要很少的基础设施。如果禁止这些技术,意味着好人会单方面解除武装,而坏人依然会向前推进。而且这会伤害到所有人,因为这些技术本质上是双重用途的。可以用来制造生物武器的工具,也可以用来治愈疾病;可以用于网络攻击的AI,也可以增强网络防御。


那么,在这个新现实中,我们如何实现遏制呢?抱怨穆斯塔法没有凭一己之力解决人类历史上最复杂的问题之一,显然是不公平的。尽管如此,他还是提出了一个与挑战规模相称的雄心勃勃的议程——涵盖了从技术解决方案(如为AI系统建立紧急关机开关)到广泛的制度性变革,包括新的全球条约、现代化的监管框架,以及政府、企业和科学家之间的历史性合作。当你读完他的建议清单时,你可能会怀疑我们是否真的能及时完成所有这一切。但这正是这本书如此重要的原因:它帮助我们在仍有时间采取行动时,理解这种紧迫性。


我一直是个乐观主义者,阅读《浪潮将至》也没有改变这一点。我坚信,AI和生物技术的进步能够帮助我们实现突破性的进展来治疗致命疾病、应对气候变化的创新解决方案,以及为每个人提供高质量的教育。但真正的乐观主义不是盲目相信,而是看到其潜力和风险,然后努力塑造更好的结果。


无论你是科技爱好者、政策制定者,还是仅仅想了解世界未来走向的人,都应该阅读这本书。它不会给你简单的答案,但它会帮助你提出正确的问题——并让你更好地准备驾驭即将到来的浪潮,而不是被它卷走。


My favorite book on AI


When people ask me about artificial intelligence, their questions often boil down to this: What should I be worried about, and how worried should I be? For the past year, I've responded by telling them to read The Coming Wave by Mustafa Suleyman. It’s the book I recommend more than any other on AI—to heads of state, business leaders, and anyone else who asks—because it offers something rare: a clear-eyed view of both the extraordinary opportunities and genuine risks ahead.


The author, Mustafa Suleyman, brings a unique perspective to the topic. After helping build DeepMind from a small startup into one of the most important AI companies of the past decade, he went on to found Inflection AI and now leads Microsoft’s AI division. But what makes this book special isn’t just Mustafa’s firsthand experience—it’s his deep understanding of scientific history and how technological revolutions unfold. He's a serious intellectual who can draw meaningful parallels across centuries of scientific advancement.


Most of the coverage of The Coming Wave has focused on what it has to say about artificial intelligence—which makes sense, given that it's one of the most important books on AI ever written. And there is probably no one as qualified as Mustafa to write it. He was there in 2016 when DeepMind’s AlphaGo beat the world’s top players of Go, a game far more complex than chess with 2,500 years of strategic thinking behind it, by making moves no one had ever thought of. In doing so, the AI-based computer program showed that machines could beat humans at our own game—literally—and gave Mustafa an early glimpse of what was coming.


But what sets his book apart from others is Mustafa’s insight that AI is only one part of an unprecedented convergence of scientific breakthroughs. Gene editing, DNA synthesis, and other advances in biotechnology are racing forward in parallel. As the title suggests, these changes are building like a wave far out at sea—invisible to many but gathering force. Each would be game-changing on its own; together, they’re poised to reshape every aspect of society.


The historian Yuval Noah Harari has argued that humans should figure out how to work together and establish trust before developing advanced AI. In theory, I agree. If I had a magic button that could slow this whole thing down for 30 or 40 years while humanity figures out trust and common goals, I might press it. But that button doesn’t exist. These technologies will be created regardless of what any individual or company does.


As is, progress is already accelerating as costs plummet and computing power grows. Then there are the incentives for profit and power that are driving development. Countries compete with countries, companies compete with companies, and individuals compete for glory and leadership. These forces make technological advancement essentially unstoppable—and they also make it harder to control.


In my conversations about AI, I often highlight three main risks we need to consider. First is the rapid pace of economic disruption. AI could fundamentally transform the nature of work itself and affect jobs across most industries, including white-collar roles that have traditionally been safe from automation. Second is the control problem, or the difficulty of ensuring that AI systems remain aligned with human values and interests as they become more advanced. The third risk is that when a bad actor has access to AI, they become more powerful—and more capable of conducting cyber-attacks, creating biological weapons, even compromising national security.


This last risk—of empowering bad actors—is what leads to the biggest challenge of our time: containment. How do we limit the dangers of these technologies while harnessing their benefits? This is the question at the heart of The Coming Wave, because containment is foundational to everything else. Without it, the risks of AI and biotechnology become even more acute. By solving for it first, we create the stability and trust needed to tackle everything else.


Of course, that’s easier said than done.


While previous transformative technologies like nuclear weapons could be contained through physical security and strict access controls, AI and biotech present a fundamentally different challenge. They're increasingly accessible and affordable, their development is nearly impossible to detect or monitor, and they can be used behind closed doors with minimal infrastructure. Outlawing them would mean the good guys unilaterally disarm while bad actors forge ahead anyway. And it would hurt everyone because these technologies are inherently dual-use. The same tools that could be used to create biological weapons could also cure diseases; the same AI that could be used for cyber-attacks could also strengthen cyber defense.


So how do we achieve containment in this new reality? It’s hardly fair to complain that Mustafa hasn’t single-handedly solved one of the most complex problems humanity has ever faced. Still, he lays out an agenda that’s appropriately ambitious for the scale of the challenge—ranging from technical solutions (like building an emergency off switch for AI systems) to sweeping institutional changes, including new global treaties, modernized regulatory frameworks, and historic cooperation among governments, companies, and scientists. When you finish his list of recommendations, you might wonder if we can really accomplish all this in time. But that’s precisely why this book is so important: It helps us understand the urgency while there’s still time to act.


I’ve always been an optimist, and reading The Coming Wave hasn’t changed that. I firmly believe that advances in AI and biotech could help make breakthrough treatments for deadly diseases, innovative solutions for climate change, and high-quality education for everyone a reality. But true optimism isn’t about blind faith. It’s about seeing both the upsides and the risks, then working to shape the outcomes for the better.





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