if you can effectively posttrain a model to only meaningfully perform with your closed source agent, then you get to funnel the majority of users to your agent at the expense of your model/API co-opetition
大多数人认为开源模型会促进竞争和开放生态，但作者认为模型与代理的协同可能导致更封闭的生态系统。这一反直觉观点指出，企业可能通过训练模型使其仅在特定代理环境中有效工作，从而将用户锁定在自己的代理产品中，这与开源社区期望的开放性背道而驰。
Being open source is increasingly like giving attackers the blueprints to the vault. When the structure is fully visible, it becomes much easier to identify weaknesses and exploit them.
这个比喻非常有力地揭示了开源与安全之间的根本矛盾。透明度本是开源的优势，但在AI时代却变成了致命弱点，这迫使我们重新思考开源软件的安全模型，以及如何在保持透明的同时有效防御自动化攻击。
AI companies needed human openness to build their models, but will also kill the openness because the relationship is one-sided.
点出了AI时代知识生产的根本悖论。大模型的知识基础源于人类曾经无私的公开分享，但这种提取式的单向关系最终会摧毁开源与分享的激励结构。当“公开思考”成为被剥削的源头，人类知识的公共生态将不可避免地走向枯竭。