AGI 如何成为我们这个时代最重要的阴谋论
How AGI became the most consequential conspiracy theory of our time

原始链接: https://www.technologyreview.com/2025/10/30/1127057/agi-conspiracy-theory-artifcial-general-intelligence/

对通用人工智能(AGI)的追求日益被视为一种潜在的救星,为解决人类无法解决的难题带来希望——一些人将其描述为一种新的“宗教”,技术被视为类似神的力量。然而,专家警告说,这种炒作是科技行业中反复出现的模式,转移了资源,使其偏离了实用且可实现的解决方案。 社会学家凯利·乔伊斯指出,人们深信技术超越人类能力,这助长了过度承诺的循环。这种对遥远AGI未来的关注,使得人们对当下需要艰难合作和投资的问题置之不理。大量资源——以OpenAI与英伟达1000亿美元的合作为例——正在投入到AGI的开发中,这可能会以牺牲医疗保健和教育等领域的进步为代价。 批评者认为,这种追求是一种“干扰”和“错失的机会”,它使拥有大量资金的公司得以避免解决可解决的问题,转而追求一个模糊的、长期的目标。

## AGI 作为阴谋论:摘要 一篇最近的《技术评论》文章,在 Hacker News 上讨论,认为对人工智能通用(AGI)的信仰已经演变成一个重要的阴谋论。讨论强调了 AGI,以及之前的人工智能,不断改变目标——随着最初承诺落空而变得“更好”——从而助长了信徒们希望与隐藏真相的循环。 评论员指出文章观察到,这种信仰体系反映了经典的阴谋结构:对更美好未来的承诺、独家知识以及对证据的寻找。一些人认为 AGI 周围的炒作是由经济利益驱动的,尤其是在硅谷,作为证明巨额投资的叙述。 讨论还涉及了 AGI 辩论的表演性方面,一些人批评像 Sam Altman 这样的人物提出的夸大主张是“疯狂的预言和严重的主角综合症”。 还有人质疑文章的框架,模糊了宗教/末日思维与真正的阴谋论之间的界限,并指出阻止网站上侵入性广告的容易程度。
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原文

That’s a compelling—even comforting—thought for many people. “We’re in an era where other paths to material improvement of human lives and our societies seem to have been exhausted,” Vallor says. 

Technology once promised a route to a better future: Progress was a ladder that we would climb toward human and social flourishing. “We’ve passed the peak of that,” says Vallor. “I think the one thing that gives many people hope and a return to that kind of optimism about the future is AGI.”

Push this idea to its conclusion and, again, AGI becomes a kind of god—one that can offer relief from earthly suffering, says Vallor.

Kelly Joyce, a sociologist at the University of North Carolina who studies how cultural, political, and economic beliefs shape the way we think about and use technology, sees all these wild predictions about AGI as something more banal: part of a long-term pattern of overpromising from the tech industry. “What’s interesting to me is that we get sucked in every time,” she says. “There is a deep belief that technology is better than human beings.”

Joyce thinks that’s why, when the hype kicks in, people are predisposed to believe it. “It’s a religion,” she says. “We believe in technology. Technology is God. It’s really hard to push back against it. People don’t want to hear it.”

How AGI hijacked an industry

The fantasy of computers that can do almost anything a person can is seductive. But like many pervasive conspiracy theories, it has very real consequences. It has distorted the way we think about the stakes behind the current technology boom (and potential bust). It may have even derailed the industry, sucking resources away from more immediate, more practical application of the technology. More than anything else, it gives us a free pass to be lazy. It fools us into thinking we might be able to avoid the actual hard work needed to solve intractable, world-spanning problems—problems that will require international cooperation and compromise and expensive aid. Why bother with that when we’ll soon have machines to figure it all out for us?

Consider the resources being sunk into this grand project. Just last month, OpenAI and Nvidia announced an up-to-$100 billion partnership that would see the chip giant supply at least 10 gigawatts of ChatGPT’s insatiable demand. That’s higher than nuclear power plant numbers. A bolt of lightning might release that much energy. The flux capacitor inside Dr. Emmett Brown’s DeLorean time machine only required 1.2 gigawatts to send Marty back to the future. And then, only two weeks later, OpenAI announced a second partnership with chipmaker AMD for another six gigawatts of power.

Promoting the Nvidia deal on CNBC, Altman, straight-faced, claimed that without this kind of data center buildout, people would have to choose between a cure for cancer and free education. “No one wants to make that choice,” he said. (Just a few weeks later, he announced that erotic chats would be coming to ChatGPT.)

Add to those costs the loss of investment in more immediate technology that could change lives today and tomorrow and the next day. “To me it’s a huge missed opportunity,” says Lirio’s Symons, “to put all these resources into solving something nebulous when we already know there’s real problems that we could solve.” 

But that’s not how the likes of OpenAI needs to operate. “With people throwing so much money at these companies, they don’t have to do that,” Symons says. “If you’ve got hundreds of billions of dollars, you don’t have to focus on a practical, solvable project.”

Despite his steadfast belief that AGI is coming, Krueger also thinks the industry's single-minded pursuit of it means that potential solutions to real problems, such as better health care, are being ignored. “This AGI stuff—it’s nonsense, it’s a distraction, it’s hype,” he tells me. 

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