强大 LLM 时代是否正在达到顶峰？
分析
本文提出了有关大型语言模型（LLM）长期可行性的关键问题，认为它们的效果可能会受到通过提示注入和训练数据操纵进行的对抗性攻击的阻碍。文章强调了随着内容创建者和恶意行为者利用漏洞，LLM 质量可能下降的潜力，这可能导致“ LLM 峰值”情景。
关键要点
引用 / 来源
查看原文"What if we're currently in peak LLM? The moment in history where ~none of the content used to train them, and to have them operate on is aware of its LLM consumers, but from now on everything will be, and the quality of LLMs will slowly decrease?"