隐私、日志和屏幕截图

可选型号改进#

The launch plan includes script-based automation and optional dataset contribution during normal VRA runs. Young Studio will train its own VRA model; customers will not need to train a model or manually assemble screenshots.

其他客户示例与核心运营诊断、许可和营销许可分开。偏好开始并具有独立的失败/低置信度、成功示例和人工审核选择。

Consent, privacy filtering, review, withdrawal, deletion and documented storage terms must be ready before launch. The experimental vision/language model is planned for a later iteration, only after internal testing demonstrates an improvement over script-based automation. VRA is pre-release; this is the release roadmap, not a claim that collection is available today.

对于已经训练过的模型，不承诺自动取消学习。请阅读当前边界的专用产品通知以及对先前上传的可选记录的单独处理。

• 产品隐私和模型改进通知
• VRA如何学习
• 单独的候补名单隐私声明

本地执行和客户证据#

VRA 旨在运行客户的 Windows 和 LDPlayer 环境。命令中心提供本地场配置、运行结果以及了解故障所需的诊断证据。

The public website interest list is separate. It stores the confirmed email, optional farm-count range, consent evidence and mail state described in the privacy notice; it does not ask for game passwords or emulator configuration.

捕获内容可能显示什么#

• 游戏中可见的角色或部落名称。
• 资源量、城市级别、队列状态和当前屏幕。
• 模拟器配置文件标签或 Windows 窗口标题。
• 错误文本和失败步骤的时间。

从不发送#

• 游戏密码、电子邮件密码、恢复代码或付款详细信息。
• 许可证机密、私人激活材料或 SMTP/API 凭据。
• 当屏幕截图和结果记录足够时，整个模拟器图像。
• 属于他人的未经编辑的信息。