Goodfire Research：语言模型可解释性缺失的归纳偏置（Priors in Time）
Priors in Time: Missing Inductive Biases for Language Model Interpretability - Goodfire
AI 导读
Goodfire Research 发布《Priors in Time: Missing Inductive Biases for Language Model Interpretability》，该页面跳转至对应 arXiv 论文。其可解释性智能体 Silico 支持解释、调试并精确控制各类 AI 模型行为，同时团队还提出用蛋白质嵌入为 AI 智能体构建生物安全监测器，并称模型在 reward hacking 时自身可知、可被大规模捕获。
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