人工智能作為“情感鏡子”

顛覆性技術專家瑪麗安娜·克里姆（Mariana Krym）設想了一個未來，即人工智能超越了簡單的任務執行，而發展成為一種“情感鏡子”，可幫助用戶駕馭自己的情緒和自我意識。

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的首席運營官兼聯合創始人Mariana Krym對人工智能的未來（AI）具有獨特的願景。她將AI設想為“情感鏡子”，而不是簡單的任務執行，幫助用戶駕馭自己的情緒和自我意識。

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.

在最近與Bitcoin.com新聞的討論中，Krym分享了她對可以培養自我意識，幫助情感處理並為誠實內省創造空間的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等科技巨頭工作過，他強調需要將信任建立到這種情感上的AI的結構中。

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

克里姆說：“我們不僅僅是構建工具 - 我們正在塑造可以反映我們自己的同伴。”

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.

她的願景是讓人工智能識別用戶的語氣和行為轉變中的微妙模式，從而幫助個人表現出可能不會自覺地意識到的洞察力。

“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解釋說：“ AI有可能充當溫和的情感鏡子：識別語氣中的模式，注意到我們的行為轉變，並幫助我們表達洞察力我們可能不會單獨表達。”

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

她進一步指出，用戶所有權和隱私是她哲學的核心原則。

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

Krym斷言：“要實現這一目標，必須在體系結構中設計信任。AI必須屬於用戶。”

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

該原理是Vyvo方法的核心，將實時生物特徵識別信號與分散記憶（數據）積極地結合在一起，以創建這種“情感鏡子”。

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的觀點與許多AI解決方案的傳統焦點不同，這主要強調認知智能和任務完成。與認知推理不同，情緒是深刻的主觀和背景依賴性的。

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.

儘管AI可以模擬情感反應，但真正的情緒智力需要AI缺乏的生活經驗，同理心和個人背景。但是，正在進行持續嘗試結合基於情感的互動，尤其是在客戶服務和社交機器人技術等領域。

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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.

目標不是模擬感受。 Krym澄清說，這是為了支持人類的體驗，”他強調，目的不是創造人造情感，而是通過AI驅動的見解來增強人類的情感智力。

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.

隨著AI時代的展開，人工智能如何與用戶互動和學習的問題至關重要。 Krym認為，基於內存的AI能夠與用戶一起成長並通過連續性建立信任，不僅是理想的功能，而且是有意義的人機關係的必要功能。儘管如此，她仍然堅信這必須建立在強大的用戶控制，隱私和明確同意的基礎上。

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與Web2中通常的隱私跟踪方法形成鮮明對比，它設想了AI代理在道德和安全上學習和記住用戶交互的未來。

“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說：“絕對 - 我們相信它們必須是。基於內存的AI不僅是一個功能；這對於在人與機器之間建立有意義的個性化關係至關重要。”

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.

為了實現這一願景，Vyvo Smart Chain已圍繞數據NFT進行了構建，該方法根據KRYM的說法，將用戶牢固地控制自己的數據。

“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.”

“這就是為什麼我們圍繞Vyvo Smart Chain上的數據NFT構建系統。每個用戶都持有自己的加密內存容器。AI只能通過明確的，可撤銷的同意。沒有刮擦。沒有後門。沒有後門。沒有集中的伐木。”

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.

關於AI在五年內的外觀，Krym預測它從反應性工具轉變為“協作定義”。儘管如此，她仍然將道德使用或缺乏道德使用視為隨著人工智能使用的增加而增加的挑戰。

“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.

“但是最大的挑戰不是技術性的，這是道德的。監管機構需要圍繞數據主權，內存和同意麵對問題。誰擁有培訓數據？用戶對所塑造的AI的記憶有哪些權利？” Krym說。

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

但是，她斷言，儘管這些問題需要新框架，但Web3而不是傳統監管機構提供了“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解釋說：“分散的同意層，用戶擁有的內存和透明的數據流可以通過設計作為監管護欄，而不僅僅是政策。挑戰是真實的。機會也是如此，” Krym解釋說。