数字永生Digital Immortality

把自己，变成一个可以随时联系的人Make Yourself Someone You Can Reach Anytime

数字永生的产品愿景，是让个人经历从静态相册、聊天记录与录音中走出来，变成可以持续交流的数字自我。微信自聊、语音回应与视频相见共同构成体验主线。The product vision brings personal experiences out of static albums, chat histories and recordings into a digital self that supports ongoing conversation. WeChat conversations, voice responses and video encounters form the central experience.

与未来的自己对话Talk to Your Future Self

记录今天的想法，向过去的自己追问一次选择，也为未来留下解释。人生版本以时间为线索，让同一个人在不同阶段的表达、经历与观点各有位置。Record today’s thoughts, ask your past self about a decision, and leave explanations for the future. Life versions use time as their organizing thread, keeping the expressions, experiences and views of each chapter distinct.

家庭数字成员Digital Family Members

家庭空间把个人故事连接成共同记忆：一次旅行、一段创业经历、一位长辈的生活智慧，都可以被保存、补充并在对话中重新讲述。每位访问者看到的内容由本人设定。Family spaces connect personal stories into shared memory: a trip, a business journey or an elder’s practical wisdom can be preserved, enriched and retold in conversation. Each visitor sees the material selected for them by its owner.

SCENARIO MODEL · MEMORY个人数字生命能力图谱Personal Digital Life Capability Map

记忆、表达、声音与形象围绕个人身份协同，由本人掌握访问与更新的控制权。Memory, expression, voice and likeness work together around personal identity, with access and updates controlled by the individual.

语言核心Language CoreLLM

组织上下文与对话回应Organize context and conversational responses

个人表达Personal ExpressionLoRA

学习本人语气与叙事习惯Learn personal tone and storytelling habits

长期记忆Long-Term MemoryRAG

按权限检索有来源的经历Retrieve source-linked experiences within access permissions

声音与形象Voice and LikenessA/V

协调语音与面部表情同步Coordinate speech and facial expression synchronization

数字生命技术架构Digital Life Architecture

概念架构由开源语言模型、个人 LoRA 适配器、记忆检索、多模态交互和隐私基础设施组成。语言模型组织回应，记忆系统提供经历依据，个人适配器塑造表达，音视频层呈现声音与形象。The concept architecture combines an open language model, personal LoRA adapters, memory retrieval, multimodal interaction and privacy infrastructure. The language model organizes responses, the memory system supplies experiential context, the adapter shapes expression, and the audiovisual layer presents voice and likeness.

LoRA 个性化引擎LoRA Personalization Engine

以本人授权的表达样本学习措辞、语气、叙事节奏与价值表达。将事实记忆放入可检索的记忆系统，将表达习惯交给独立适配器，分别管理训练版本、评测结果与更新节奏。Learn wording, tone, narrative rhythm and the expression of values from authorized personal samples. Keep factual memories in a retrievable memory system and expression patterns in a separate adapter, managing training versions, evaluation results and update schedules independently.

数字永生技术壁垒Technical Foundations of Digital Immortality

长期积累体现在五个方面：带来源的个人资料整理、跨场景人格一致性、可修订的人生记忆、自然的实时在场感，以及每个人独立的反馈评测体系。这些能力需要在持续交流中共同完善。Long-term differentiation rests on five capabilities: source-linked personal collections, consistent identity across situations, revisable life memories, natural real-time presence, and an individual feedback and evaluation system. These capabilities develop together through ongoing interaction.

从相似表达到稳定人格From Similar Expression to Consistent Identity

评测需要覆盖日常聊天、情绪表达、人生回忆与陌生问题，检查前后矛盾、记忆引用和表达贴合度。使用独立样本回放对话，在更新前比较新旧版本，让成长有依据。Evaluation spans everyday conversation, emotional expression, life recollection and unfamiliar questions, checking contradictions, memory references and personal fit. Replay conversations using independent samples and compare old and new versions before updates so improvements have evidence.

隐私与数据主权Privacy and Data Sovereignty

私人记忆空间采用加密存储与租户隔离的设计，按访问者、主题和时间设置权限。每次记忆检索先检查访问范围，声音、形象与个人适配器分别授权，访问与修改留下审计记录。The private memory space is designed around encrypted storage and tenant isolation, with permissions by visitor, topic and time. Memory retrieval checks access scope first; voice, likeness and personal adapters are authorized separately, while access and changes leave an audit trail.

控制权贯穿数据生命周期Control Across the Data Lifecycle

本人可以管理授权、导出资料与发起删除。撤回后停用相关访问；若资料进入过个性化训练，将对应适配器纳入停用与重训流程，并按数据生命周期策略处理副本和备份。私有典藏方案提供独立部署路径。Individuals can manage permissions, export materials and request deletion. Withdrawal disables the relevant access; if material was used for personalization training, the corresponding adapter enters a retirement and retraining process, with copies and backups handled under the data lifecycle policy. Private collections have an independent deployment path.

产品体验与合作路径Product Experiences and Partnership Paths

产品规划以文字记忆、个人声音、视频在场和私有典藏形成体验层级。围绕资料规模、个性化训练、交互用量及部署方式组合方案，覆盖个人订阅、家庭空间与机构共创。The product roadmap organizes experiences around text memory, personal voice, video presence and private collections. Plans can combine collection size, personalization training, interaction usage and deployment choices for individuals, families and institutional collaborations.

让生命的故事持续发生Let Life Stories Keep Unfolding

从一段故事开始建立记忆，从一次对话开始认识另一个自己。我们邀请个人、家庭与技术伙伴共同探索数字分身、家庭记忆和长期个人表达的下一种形态。Begin a memory with one story and discover another version of yourself through one conversation. We invite individuals, families and technology partners to explore the next form of digital selves, family memory and enduring personal expression.