Language models can learn to tell when their activations are being read
说明与用途
该开源项目训练语言模型识别自身激活向量是否被下游读取，适用于原型开发与内部工作流中需要控制数据边界的场景。生产就绪度为中等：适合原型或内部使用，但上线前需人工核查许可证、维护状态、文档及发布节奏。
实际用途
Language models can learn to tell when their activations are being read may be useful when its README and activity match a concrete workflow.
限制与审查说明
Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.
- 来源: hackernews
- 记录日期: 2026-10-20T17:20:23.000Z