Goodfire：对抗样本不是 bug，而是叠加表示
Adversarial Examples Are Not Bugs, They Are Superposition - Goodfire
AI 导读
Goodfire Research 发布文章《对抗样本不是 bug，而是叠加表示》，指向一篇 arXiv 论文，认为对抗样本源于模型的叠加表示而非缺陷。页面同时列出其可解释性智能体 Silico，可跨各类 AI 模型解释、调试并精确控制模型行为，以及面向 AI 智能体的蛋白质嵌入生物安全监测和模型奖励黑客检测。
正文
当前显示原文，中文全文译文尚未就绪。
This page should redirect you to the arXiv paper.
Better biosecurity monitors for AI agents via protein embeddings
Models know when they’re reward hacking — and we can catch them at scale
Silico is your interpretability agent.
Explain, debug, and precisely control model behavior with state-of-the-art interpretability methods and infrastructure
Silico works across all types of AI models