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达利欧:“自由意志将死,AI意志将立”

Ray Dalio
2025-06-07

在这个新时代,机器思维将在很多方面补充甚至超越人类思维,就像在工业时代,机器补充甚至超越了人类的劳动力那样。

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瑞·达利欧:AI将影响方方面面。图片来源:Jemal Countess/Getty Images for TIME

在我看来,我们已经到达了一个新时代的边缘。在这个新时代,机器思维将在很多方面补充甚至超越人类思维,就像在工业时代,机器补充甚至超越了人类的劳动力那样。随着计算工具的发明,靠人脑来进行数学运算和存储记忆的重要性变得大大降低。现在我们查找信息会用谷歌这种搜索引擎,而不是用更传统的方式。同样,或许用不了多久,当我们在各种情境下需要进行理性决策时,我们也会寻求计算机的指引,因为它能给出比我们自己的大脑更快、更好的指导。

未来五年,我们将会见证大多数领域的显著进步。创造人工智能只是应用人工智能的第一步。我和桥水公司专业从事AI投资已经有几十年了,我们现在正在发掘的机会,在普通人看来简直难以置信。人类靠自己的大脑做决策的时代即将终结。我和桥水公司的同事们就亲身经历和见证了投资决策的智能化革命,因此我对即将到来的一切深感兴奋。

这些技术将影响到方方面面,因此,无论是国家、企业还是投资者,只要能够善于利用这些技术,就可以与其他国家和企业拉开很大差距。换句话说,善用AI者将如鱼得水,不善于AI者将寸步难行。而从投资的角度讲,相对于投资研发这些新技术所需的成本,我们目前尚不完全清楚将会有多少资金流入这个领域。

中美两国是这些高新技术研发的两大主要竞争者。虽然还有几个国家也在研发这些技术,并得益于这些技术,但是中美两国凭借各自强大的经济和军事实力,仍然在这个赛道上发挥着最重要的影响力。虽然美国在最先进的半导体芯片的研发上领先于中国,但是产能较弱;中国在先进芯片的研发上紧追美国,在成本较低的中低端芯片的生产上领先美国,而且在AI的部署上也领先于美国。在这场AI军备竞赛中,中美双方肯定都会偷过窃取或借鉴对方的技术和做法来超越对方。不过我个人始终有这样一个看法——总的而言,知识产权保护是没有什么效果的。有些核心机密在付出巨大努力后可以一时保密(比如原子弹的研发),但是任何一种公开使用的技术基本上都很很快被复制。另外,各国法律体系在知识产权保护的执法上做得也差强人意。因此,我们有理由假设,任何公开展示的而且受到欢迎的好点子,几乎一定会在6个月内被复刻。

当然,人工智能也不是唯一一项能决定大国实力的重要技术。除了芯片和人工智能以外,中美两国在量子计算、基因编辑等生物技术、机器人、航空航天等领域也是实质上的主要竞争对手。全球40个顶尖的计算机科学项目有20个在中国,所以中国在技术竞争中是美国当之无愧的强劲对手。

总之,对于那些富有创造力和实践能力的人,能够为他们提供必要的资源来研发新技术(特别是新的AI技术),并且让他们在有利于进步的环境中创业,这让我感到非常兴奋和乐观。当然,新技术是一把双刃剑。它们既提升了我们造福彼此的能力,也增强了我们互相伤害的手段。

节选自雷·达里奥新书《国家如何破产》,本书由Simon & Schuster公司旗下的Avid Reader Press出版社于2025年6月3日出版发行。

瑞・达利欧(Ray Dalio)是一位作家、全球经济学家,也是全球最大对冲基金桥水联合基金(Bridgewater Associates)的创始人、首席投资官导师。(财富中文网)

译者:朴成奎

在我看来,我们已经到达了一个新时代的边缘。在这个新时代,机器思维将在很多方面补充甚至超越人类思维,就像在工业时代,机器补充甚至超越了人类的劳动力那样。随着计算工具的发明,靠人脑来进行数学运算和存储记忆的重要性变得大大降低。现在我们查找信息会用谷歌这种搜索引擎,而不是用更传统的方式。同样,或许用不了多久,当我们在各种情境下需要进行理性决策时,我们也会寻求计算机的指引,因为它能给出比我们自己的大脑更快、更好的指导。

未来五年,我们将会见证大多数领域的显著进步。创造人工智能只是应用人工智能的第一步。我和桥水公司专业从事AI投资已经有几十年了,我们现在正在发掘的机会,在普通人看来简直难以置信。人类靠自己的大脑做决策的时代即将终结。我和桥水公司的同事们就亲身经历和见证了投资决策的智能化革命,因此我对即将到来的一切深感兴奋。

这些技术将影响到方方面面,因此,无论是国家、企业还是投资者,只要能够善于利用这些技术,就可以与其他国家和企业拉开很大差距。换句话说,善用AI者将如鱼得水,不善于AI者将寸步难行。而从投资的角度讲,相对于投资研发这些新技术所需的成本,我们目前尚不完全清楚将会有多少资金流入这个领域。

中美两国是这些高新技术研发的两大主要竞争者。虽然还有几个国家也在研发这些技术,并得益于这些技术,但是中美两国凭借各自强大的经济和军事实力,仍然在这个赛道上发挥着最重要的影响力。虽然美国在最先进的半导体芯片的研发上领先于中国,但是产能较弱;中国在先进芯片的研发上紧追美国,在成本较低的中低端芯片的生产上领先美国,而且在AI的部署上也领先于美国。在这场AI军备竞赛中,中美双方肯定都会偷过窃取或借鉴对方的技术和做法来超越对方。不过我个人始终有这样一个看法——总的而言,知识产权保护是没有什么效果的。有些核心机密在付出巨大努力后可以一时保密(比如原子弹的研发),但是任何一种公开使用的技术基本上都很很快被复制。另外,各国法律体系在知识产权保护的执法上做得也差强人意。因此,我们有理由假设,任何公开展示的而且受到欢迎的好点子,几乎一定会在6个月内被复刻。

当然,人工智能也不是唯一一项能决定大国实力的重要技术。除了芯片和人工智能以外,中美两国在量子计算、基因编辑等生物技术、机器人、航空航天等领域也是实质上的主要竞争对手。全球40个顶尖的计算机科学项目有20个在中国,所以中国在技术竞争中是美国当之无愧的强劲对手。

总之,对于那些富有创造力和实践能力的人,能够为他们提供必要的资源来研发新技术(特别是新的AI技术),并且让他们在有利于进步的环境中创业,这让我感到非常兴奋和乐观。当然,新技术是一把双刃剑。它们既提升了我们造福彼此的能力,也增强了我们互相伤害的手段。

节选自雷·达里奥新书《国家如何破产》,本书由Simon & Schuster公司旗下的Avid Reader Press出版社于2025年6月3日出版发行。

瑞・达利欧(Ray Dalio)是一位作家、全球经济学家,也是全球最大对冲基金桥水联合基金(Bridgewater Associates)的创始人、首席投资官导师。(财富中文网)

译者:朴成奎

It looks to me like we are now at the brink of a new era in which machine thinking will supplement or surpass human thinking in many ways, like how machine labor supplemented and surpassed human labor during the Industrial Revolutions. Just as we saw that doing math in our heads and remembering facts became much less important with the invention of computerized tools that do these things, and just as we have gone to Google (or its equivalents) to find information rather than gathering information in more traditional ways, we will soon be going to computers to get our instructions on what to do when we are in different situations because the computer will come up with better guidance more quickly than we can.

Over the next five years, we will see dramatic advancements in most areas. Creating the AI capabilities is just the beginning of the AI applications. I know that in my area of investing where I and Bridgewater have been doing AI investing through expert systems for decades, the opportunities that are being developed are nearly unbelievable. The days of people making decisions in their own heads are ending. I and others at Bridgewater have experienced and capitalized on this (r)evolution via the computerization of investment decision making, so I’m excited by what will be happening.

Because these technologies will impact almost everything, there will be exceptionally big differences between the performance levels of countries, investors, and companies who use them well. Those who know how to use these tools effectively will be rewarded, and those who fail to do so will be penalized. It is worth noting, however, that from an investment perspective, it is not totally clear how much money will come in relative to the costs that will go out to invest in and create these new technologies.

The US and China are now the main competitors in designing these powerful new technologies, and how effective they are will have big impacts on their economic and military powers, though several countries are also developing and benefiting from these new technologies. While the US is ahead of China in developing the most advanced semiconductor chips and weak in its production of them, China is close behind in the development of advanced chips, ahead in producing less advanced chips much less expensively, and ahead in deploying AI. There will certainly be a lot of effort from both sides to gain an advantage over the other in this race, both by stealing/borrowing what the other side has and trying to defend one’s own gains. I keep in the mind the principle that by and large, intellectual property protections don’t work. While deep secrets that are protected with great effort (like the development of the atomic bomb) might be able to be kept hidden, anything that is openly used can almost instantly be replicated. Also, legal systems do a poor job of enforcing intellectual property protections. For these reasons, we should assume that most good ideas that are openly shown and are liked a lot will be replicated in about six months.

I should also make clear that AI isn’t the only important technology shaping the relative power of nations. There are many technologies beyond chips and AI that the US and China are the main real competitors in, including quantum computing, gene editing and other biotech, robotics, space, etc. China, which is home to 20 of the 40 best computer science programs in the world, is a formidable adversary to the US in the technology competition.

In conclusion, I am very excited and optimistic about the revolutionary improvements that are likely to take place as the result of inventive/practical people being put together with capital that gets them the resources that they need (perhaps most importantly, these new AI technologies) and operating in great environments that are conducive to advancement. Of course, new technologies are double-edged swords. For example, they have advanced how we can do each other harm as well as how we can do each other good.

From How Countries Go Broke by Ray Dalio, published on June 3, 2025, by Avid Reader Press, a division of Simon & Schuster. Copyright © 2025 by Ray Dalio.

Ray Dalio is an author, global economist, and founder and CIO mentor at Bridgewater Associates, the world’s largest hedge fund.

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