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Seek wealth, not money or status. Wealth is having assets that earn while you sleep. Money is how we transfer time and wealth. Status is your place in the social hierarchy.
Understand that ethical wealth creation is possible. If you secretly despise wealth, it will elude you. Ignore people playing status games. They gain status by attacking people playing wealth creation games.
You're not going to get rich renting out your time. You must own equity — a piece of a business — to gain your financial freedom. You will get rich by giving society what it wants but does not yet know how to get, at scale.
Pick an industry where you can play long-term games with long-term people. All the returns in life, whether in wealth, relationships, or knowledge, come from compound interest.
追求财富，而非金钱或地位。财富是能在你睡觉时持续增值的资产；金钱只是转移时间与财富的工具；地位则是你在社会层级中的位置。
道德地创造财富是可能的。若你内心鄙视财富，它便会远离你。无视那些玩地位游戏的人——他们通过攻击创造财富的人来获取地位。
靠出租时间无法致富。你必须持有股权——企业的一部分——才能获得财务自由。财富来自于大规模提供社会需要却尚不知如何获得的东西。
选择一个能与长期主义者共同参与长期博弈的行业。人生中所有的回报——无论是财富、关系还是知识——都来自复利效应。
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YouTube · NavalRiding AGI, AI Anxiety, Who Funded COVID, Defending Taiwan, and California EmpireIntelligence isn't the bottleneck. Cost is.
Naval, Garry Tan, and a table of founders on how AI is really evolving — why cost, not raw intelligence, is the real constraint, and what the massive build-out ahead means for jobs and society.
The group agrees that frontier models are already capable enough for most tasks. The binding constraint is inference cost — once that drops another 10–100x, the use cases that seem impractical today become obvious.
Naval puts a rough number on how much more compute will be deployed before AI infrastructure reaches saturation — a scale that dwarfs anything built in the cloud era and requires rethinking energy and chip supply chains.
Open models are now within striking distance of proprietary ones on most benchmarks. This collapses the moat for closed labs and shifts competitive advantage toward distribution and fine-tuned vertical applications.
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"The purpose of a system is what it does. There is after all, no point in claiming that the purpose of a system is to do what it constantly fails to do."
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