Countering AI laziness patterns: treating lower bounds as targets (>=8 pages → writes exactly 8); skipping process to jump to conclusions; template filling instead of thinking; choosing the narrowest interpretation of vague requirements to claim completion; answering from memory when deep search is needed.
Fighting AI laziness is really fighting human laziness: when you rush to get things done sloppily, so does your AI.
对抗AI的惰性模式：数量约束取下限（>=8页只写8页）；跳过过程给结论；模板填充代替思考；越模糊的需求越倾向做最少的事claim完成；需要深度搜索的问题凭记忆回答。
对抗AI的惰性，其实就是对抗人的惰性：你着急把事情很粗糙的做完，你的AI也是。
Every time a new product or open-source project drops, you see a crowd beating their chests in regret, and an even bigger crowd applauding. The cognition gap is exactly this — those one level below see nothing but great ideas; those who’ve reached that level see “idea is same and cheap,” and if you move too slowly, you miss every hot opportunity.
每次一个新产品或者开源项目出来，能看到一堆人捶胸顿足，然后更多的人拍手叫好。认知的鸿沟莫过于此——认知水平不够下一级的感受到的都是好主意，认知水平到了的感受到的都是 idea is same and cheap，动作慢了啥都吃不上热的。
Intuition is the highest form of rationality. AI will render 90% of our skills useless — but it can amplify the remaining 10% by 10x, 100x, 1000x. Intuition is surely one of the most important traits in that 10%.
直觉，是最高级的理性。AI 会让我们90%的技能毫无用处，但是，可以10倍100倍1000倍放大我们剩下的那10%。直觉，一定是那10%里面非常重要的一个特征。
#OpenAI Operator
Opportunities
#OpenAI Operator
机会点
Superpowers doesn’t persuade AI at a logical level — it manipulates AI’s token generation distribution at a statistical level. Using AI’s weaknesses to constrain AI.
Superpowers 不是在逻辑层面说服 AI，而是在统计层面操控 AI 的 token generation distribution。用 AI 的弱点约束 AI。
The structure of the next era won’t be discovered — it’ll be built.
The structure of the next era won’t be discovered — it’ll be built.