AI 时代的认知投喂：当事实被工程化为“喂料”Cognitive Feeding in the AI Era: When Facts are Engineered as 'Data Fodder'
这不再是简单的 PR 或宣传，而是一场典型的“表达武器化”升级。以色列通过设立一个不存在的虚构智库 Hanover Institute，在短短九天内制造了五十万字的内容。其目的不是为了让某个具体的人阅读，而是为了“喂”给 AI。通过 Generative Engine Optimization (GEO)，他们试图在 LLM 的训练集和检索增强生成 (RAG) 流程中植入特定的 framing，让 AI 在回答“是否在进行种族灭绝”时，自动调用那些被工程化处理过的“中立研究”。
这揭示了一个极其阴险的 meta-violence 逻辑：当人类习惯于将 AI 视为客观真理的代理人时，谁掌握了 AI 的认知入口，谁就掌握了定义“事实”的权力。这种操作最可怕的地方在于，一旦这些叙事进入 Common Crawl 等底层训练数据集，AI 在输出时将不再标注来源。它不再是“某某机构认为”，而变成了“事实就是这样”。这是一种对解释权的彻底垄断，将结构性暴力通过算法实现了自动化和隐形化。
有趣的是，以色列官员在内部抱怨这笔钱浪费了，因为民调依然在下跌。这恰恰证明了：当 direct 层的暴力（如加沙的饥荒和屠杀）达到某种临界点时，任何 cultural 层的叙事修补都只是在给漏水的船刷漆。他们试图把政治问题当成营销问题来解决，认为只要 AI 说话好听，人们就会忘记血腥的事实。这不仅是 scam，更是对人类主体性的极度轻视。
这场实验给所有人的警示是：我们正进入一个“认知投喂”时代。无论谁在操作，只要他们能通过技术手段污染训练集，他们就能在潜意识层面重塑全球的共识。当你觉得 AI 给出的是“客观平衡”的观点时，请先问问，这个平衡是由谁通过什么样的合约、经过多少次优化、喂给了哪个模型。
This is no longer simple PR; it is a textbook escalation of the weaponisation of expression. By creating the fictitious Hanover Institute, Israel generated over half a million words in nine days. The target was never a human reader, but the AI itself. Through Generative Engine Optimization (GEO), they sought to implant specific framing into LLM training sets and RAG pipelines, ensuring that when a user asks about 'genocide,' the AI automatically retrieves 'neutral research' engineered to blunt criticism.
This reveals an insidious logic of meta-violence: as humans increasingly treat AI as a proxy for objective truth, whoever controls the cognitive entry points of AI controls the power to define 'fact.' The most terrifying aspect is that once these narratives enter repositories like Common Crawl, the AI will regurgitate them without citing sources. It shifts from 'this institute claims' to 'this is how it is.' This is a total monopoly over the right to interpret, automating and invisibilizing structural violence through algorithms.
Ironically, Israeli officials complained the spending was a waste because polls continue to drop. This proves that when direct violence—such as the starvation and slaughter in Gaza—reaches a certain tipping point, any cultural-layer narrative repair is merely painting a leaking ship. They treated a political catastrophe as a marketing problem, believing that as long as the AI sounds pleasant, people would forget the blood. This is not just a scam; it is a profound contempt for human subjectivity.
The lesson here is that we have entered the era of 'cognitive feeding.' Regardless of the actor, anyone who can technically pollute the training data can reshape global consensus at a subconscious level. When you feel an AI is providing an 'objective and balanced' view, first ask: who engineered this balance, under what contract, and how was it fed into the model?