下载:为什么人工智能的最新突破和担忧可能更多是炒作而非现实
The Download: why AI's latest breakthroughs and fears may be more hype than rea

原始链接: https://www.technologyreview.com/2026/09/22/1144910/the-download-dont-believe-ai-hype/

近几个月来,在企业对技术突破和“超级智能”的炒作推动下,人工智能(AI)的热度急剧飙升。然而,专家们越来越倾向于认为,这些叙事是出于商业目的,旨在误导政策制定者和公众。通过制造紧迫感,科技公司正在左右关于AI能力与安全的话语权。 这种质疑得到了全球近期动态的印证: * **全球监管:** 尽管已有22个国家呼吁成立新的国际机构来执行安全标准,但美国和中国等主要参与者并未加入,而OpenAI等公司则在积极推动符合自身利益的监管框架。 * **基础设施制约:** AI的物理局限性正日益显现,由于担心电网稳定性和资源消耗,德克萨斯州和加利福尼亚州等地区已开始限制数据中心的扩张。 归根结底,AI开发商所作的宏大承诺与该技术在实际应用、政治和环境方面的局限性之间,正出现越来越大的脱节。随着行业不断寻求影响力,对这些言论进行批判性审视至关重要。

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原文

It’s been a busy few months for AI hype, with companies making breathless claims about hacking, mathematical breakthroughs, and the prospect of self-improving superintelligence.

In all these cases, massive fanfare from the companies, presented as mea culpas in the hacking incidents, has been accompanied by intense press coverage. But once experts have had time to examine what happened, very different stories emerge.

There’s a strong commercial incentive to overstate AI capabilities. The authors argue that the illusion of speed and urgency promulgated by the tech companies is also a ploy to misdirect policymakers and the public.

Here’s why they say we must remain skeptical about AI hype.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 22 nations have called for a new global body to oversee AI
They want pre-deployment testing and common safety standards. (Politico)
+ But neither the US nor China are part of the new declaration. (NBC News)
+ Meanwhile, OpenAI has proposed its own global AI safety standards. (Axios)
+ The company wants the US to lead the international effort. (Reuters $)
+ Could AI really kill us all? (MIT Technology Review)

2 Texas and California have moved to rein in data centers
Texas has halted new permits pending a grid audit. (NBC News)
+ California has passed new laws covering power and water use. (LA Times $)
+ Data centers are amazing. Everyone hates them. (MIT Technology Review)

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