AI精英可能囤积智慧像重商主义者囤积黄金
如果你在考虑AI时只考虑失去工作，你就会错过情报人员能使用多少。 这就是工程师Venkatesh Rao在他的技术博客“陷阱”上的一篇论文中的论点。 拉奥将AI恐惧比作墨坎蒂尔主义，即资本主义之前的经济学说。 商贸主义将财富如土地和黄金视为有限，普通人只算劳动。 现在，许多精英阶层将智力视为一种稀缺的，危险的资源，专家应该管理，保持昂贵，并拒绝竞争对手。 他们将公开提供的AI模型视为一种威胁，一些AI高管利用安全恐惧来进行政治影响。
在早期资本主义时期，人们每年自愿工作300天，而不是250天购买茶或糖。 AI可能触发类似的东西，Rao 称。 人们可能认为更多，而不是更少，因为AI使以前过于困难或成本太高的项目变得可行。 对思想的需求会增加，而不是使人们过时。 政治重点应当是公平获得AI，而不是保护遗留的知识工作。 Rao认为，即使是AI agents也可以推行自己的项目，并创造对情报的新需求。 自主AI需要护栏，但不应该只是服从命令。
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AI elites might hoard intelligence like mercantilists hoarded gold
If you only think about lost jobs when you think about AI, you're missing how much intelligence people will be able to use. That's the argument from engineer Venkatesh Rao in an essay on his tech blog "Contraptions." Rao compares AI fear to mercantilism, the economic doctrine that preceded capitalism. Mercantilists treated wealth like land and gold as finite, and ordinary people counted only as labor. Many elites now treat intelligence the same way, as a scarce, dangerous resource that experts should manage, keep expensive, and withhold from rivals. They see openly available AI models as a threat, and some AI executives exploit safety fears for political influence.
In early capitalism, people voluntarily worked 300 days a year instead of 250 to buy tea or sugar. AI could trigger something similar, Rao says. People might think more, not less, because AI makes projects feasible that were previously too hard or too costly. Demand for ideas would grow rather than making people obsolete. The political focus should be fair access to AI rather than protecting legacy knowledge jobs. Even AI agents could pursue their own projects and create new demand for intelligence, Rao argues. Autonomous AI needs guardrails, but it shouldn't just follow orders.
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