人工智能作为“情感镜子”

颠覆性技术专家玛丽安娜·克里姆（Mariana Krym）设想了一个未来，即人工智能超越了简单的任务执行，而发展成为一种“情感镜子”，可帮助用户驾驭自己的情绪和自我意识。

Mariana Krym, COO and Co-founder of Vyvo Smart Chain, has a unique vision for the future of artificial intelligence (AI). Instead of simple task execution, she envisions AI as an “emotional mirror” helping users navigate their emotions and self-awareness.

Vyvo Smart Chain的首席运营官兼联合创始人Mariana Krym对人工智能的未来（AI）具有独特的愿景。她将AI设想为“情感镜子”，而不是简单的任务执行，帮助用户驾驭自己的情绪和自我意识。

In a recent discussion with Bitcoin.com News, Krym shared her thoughts on shaping AI companions that can foster self-awareness, aid in emotional processing, and create space for honest introspection.

在最近与Bitcoin.com新闻的讨论中，Krym分享了她对可以培养自我意识，帮助情感处理并为诚实内省创造空间的AI同伴的想法。

Having previously worked at tech giants like Twitter, Snapchat, and Waze, Krym emphasized the need to build trust into the very fabric of such emotionally attuned AI.

Krym此前曾在Twitter，Snapchat和Waze等科技巨头工作过，他强调需要将信任建立到这种情感上的AI的结构中。

“We’re not just building tools—we’re shaping companions that can reflect us back to ourselves,” Krym said.

克里姆说：“我们不仅仅是构建工具 - 我们正在塑造可以反映我们自己的同伴。”

Her vision is for AI to recognize subtle patterns in a user’s tone and behavioral shifts, thereby helping individuals surface insights they might not be consciously aware of.

她的愿景是让人工智能识别用户的语气和行为转变中的微妙模式，从而帮助个人表现出可能不会自觉地意识到的洞察力。

“AI has the potential to act as a gentle emotional mirror: recognizing patterns in tone, noticing our behavioral shifts, and helping us surface insights we might not articulate alone,” Krym explained.

Krym解释说：“ AI有可能充当温和的情感镜子：识别语气中的模式，注意到我们的行为转变，并帮助我们表达洞察力我们可能不会单独表达。”

She further noted that user ownership and privacy are the core tenets of her philosophy.

她进一步指出，用户所有权和隐私是她哲学的核心原则。

“For that to happen, trust must be designed into the architecture. The AI must belong to the user,” Krym asserted.

Krym断言：“要实现这一目标，必须在体系结构中设计信任。AI必须属于用户。”

This principle, central to Vyvo’s approach, actively combines real-time biometric signals with decentralized memory (data) to create this “emotional mirror.”

该原理是Vyvo方法的核心，将实时生物特征识别信号与分散记忆（数据）积极地结合在一起，以创建这种“情感镜子”。

Krym’s perspective diverges from the traditional focus of many AI solutions, which primarily emphasize cognitive intelligence and task completion. Unlike cognitive reasoning, emotions are deeply subjective and context-dependent.

Krym的观点与许多AI解决方案的传统焦点不同，这主要强调认知智能和任务完成。与认知推理不同，情绪是深刻的主观和背景依赖性的。

While AI can simulate emotional responses, true emotional intelligence requires lived experience, empathy, and personal context, which AI lacks. However, there are ongoing attempts to incorporate emotion-based interactions, particularly in areas like customer service and social robotics.

尽管AI可以模拟情感反应，但真正的情绪智力需要AI缺乏的生活经验，同理心和个人背景。但是，正在进行持续尝试结合基于情感的互动，尤其是在客户服务和社交机器人技术等领域。

Web3 Holds ‘Powerful Answers’ for AI Ethics

Web3为AI伦理拥有“强大的答案”

The goal isn't to simulate feelings. It’s to support the human experience with awareness and context,” Krym clarified, highlighting that the aim is not to create artificial emotions but rather to enhance human emotional intelligence through AI-driven insights.

目标不是模拟感受。 Krym澄清说，这是为了支持人类的体验，”他强调，目的不是创造人造情感，而是通过AI驱动的见解来增强人类的情感智力。

As the AI era unfolds, the question of how artificial intelligence will interact with and learn from users is paramount. Krym argues that memory-based AI, capable of growing with its user and building trust through continuity, is not just a desirable feature but a necessity for meaningful human-machine relationships. Still, she firmly believes this must be built upon a foundation of robust user control, privacy, and explicit consent.

随着AI时代的展开，人工智能如何与用户互动和学习的问题至关重要。 Krym认为，基于内存的AI能够与用户一起成长并通过连续性建立信任，不仅是理想的功能，而且是有意义的人机关系的必要功能。尽管如此，她仍然坚信这必须建立在强大的用户控制，隐私和明确同意的基础上。

Drawing a stark contrast with the often privacy-infringing tracking methods prevalent in Web2, Krym envisions a future where AI agents learn and remember user interactions ethically and securely.

Krym与Web2中通常的隐私跟踪方法形成鲜明对比，它设想了AI代理在道德和安全上学习和记住用户交互的未来。

“Absolutely—and we believe they must be. Memory-based AI isn't just a feature; it's essential for building meaningful, personalized relationships between humans and machines,” Krym stated.

Krym说：“绝对 - 我们相信它们必须是。基于内存的AI不仅是一个功能；这对于在人与机器之间建立有意义的个性化关系至关重要。”

To achieve this vision, Vyvo Smart Chain has architected its system around Data NFTs, an approach which according to Krym, places the user firmly in control of their own data.

为了实现这一愿景，Vyvo Smart Chain已围绕数据NFT进行了构建，该方法根据KRYM的说法，将用户牢固地控制自己的数据。

“That's why we built our system around Data NFTs on Vyvo Smart Chain. Each user holds their own encrypted memory container. The AI can access it only with explicit, revocable consent. No scraping. No backdoors. No centralized logging.”

“这就是为什么我们围绕Vyvo Smart Chain上的数据NFT构建系统。每个用户都持有自己的加密内存容器。AI只能通过明确的，可撤销的同意。没有刮擦。没有后门。没有后门。没有集中的伐木。”

On what AI will look like in five years, Krym predicts it moving from reactive tools to “collaborative presences.” Still, she sees the ethical use or lack thereof as a challenge that will grow with the increased use of AI.

关于AI在五年内的外观，Krym预测它从反应性工具转变为“协作定义”。尽管如此，她仍然将道德使用或缺乏道德使用视为随着人工智能使用的增加而增加的挑战。

“But the biggest challenge isn't technical—it's ethical. Regulators will need to confront questions around data sovereignty, memory, and consent. Who owns the training data? What rights does a user have over the memory of an AI they’ve shaped?,” Krym states.

“但是最大的挑战不是技术性的，这是道德的。监管机构将需要围绕数据主权，内存和同意面对问题。谁拥有培训数据？用户对所塑造的AI的记忆有哪些权利？” Krym说。

However, she asserts that while these questions demand new frameworks, Web3, and not traditional regulators, offers “powerful answers.”

但是，她断言，尽管这些问题需要新框架，但Web3而不是传统监管机构提供了“有力的答案”。

“Decentralized consent layers, user-owned memory, and transparent data flows can serve as regulatory guardrails by design, not just policy. The challenge is real. But so is the opportunity,” Krym explains.

Krym解释说：“分散的同意层，用户拥有的内存和透明的数据流可以通过设计作为监管护栏，而不仅仅是政策。挑战是真实的。机会也是如此，” Krym解释说。