AI如何演变为政治危机：卡内基学者深度访谈
How AI Becomes a Political Crisis
The political economy of AI — things are getting weird, it seems. We have models on the loose, open weights being dropped from the heavenly temple, and data center protests fanning out across the land. There’s a lot of salience in a way that feels really different than it did even six months ago. To discuss, we have the wonderful Anton Leicht, a fellow at Carnegie and author of the excellent Substack Threading the Needle.
人工智能的政治经济学——事情似乎变得有些奇怪。模型四处流散，开放权重从天而降，数据中心抗议活动在全国各地蔓延。与六个月前相比，这种显著变化感觉截然不同。为此，我们邀请到了杰出的安东·莱希特，他是卡内基研究所的研究员，也是优秀Substack专栏《穿针引线》的作者。
Our conversation covers:
我们的对话涵盖：
- Why even a small amount of AI-driven unemployment could upend national politics, especially if agents start replacing junior white-collar workers and breaking the career pipeline,
- What policymakers can do to protect workers without calcifying the economy, how to collect better data on AI and labor, and whether to subsidize junior hiring,
- The case for funding the AI transition with corporate income taxes instead of token taxes, and why offering the government AI equity or “golden shares” would backfire,
- Data center backlash, strategies for winning hearts and minds, and options for friendshoring AI infrastructure,
- The political economy of safety — why pausing AI development wouldn’t work, but a coordinated slowdown might,
- The coming reckoning between open source and the national security state.
- 为何即使是少量由AI驱动的失业也可能颠覆国家政治，尤其是当智能体开始取代初级白领员工并打破职业发展通道时，
- 政策制定者如何在不使经济僵化的情况下保护工人，如何收集关于AI与劳动力的更好数据，以及是否补贴初级岗位招聘，
- 用企业所得税而非代币税来资助AI转型的理由，以及为何向政府提供AI股权或“黄金股”会适得其反，
- 数据中心引发的反弹，赢得人心与支持的战略，以及AI基础设施“友岸外包”的选项，
- 安全的政治经济学——为何暂停AI发展行不通，但协调放缓可能有效，
- 开源与国家安全国家之间即将到来的清算。
Plus, Kafka on bureaucracy and happenstance, how Anton’s years in esports shaped his career, and why new ideas seem to travel more easily through American policy discourse than European institutions.
此外，还有卡夫卡关于官僚主义与偶然性的论述，安东在电子竞技领域的多年经历如何塑造了他的职业生涯，以及为何新思想似乎更容易在美国政策话语中传播，而非欧洲机构。
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