The Good Tech Companies - AI's Ethical Evolution: Vyvo Smart Chain's Mariana Krym on Redefining Data Ownership
Episode Date: June 11, 2025This story was originally published on HackerNoon at: https://hackernoon.com/ais-ethical-evolution-vyvo-smart-chains-mariana-krym-on-redefining-data-ownership. Discover ...how Mariana Krym, Co-Founder & COO of Vyvo Smart Chain, is building VAI OS to revolutionize AI with user-centric data privacy and ethical design. Check more stories related to web3 at: https://hackernoon.com/c/web3. You can also check exclusive content about #web3, #blockchain, #cryptocurrency, #ai, #good-company, #data, #vyvo, #privacy, and more. This story was written by: @ishanpandey. Learn more about this writer by checking @ishanpandey's about page, and for more stories, please visit hackernoon.com. Discover how Mariana Krym, Co-Founder & COO of Vyvo Smart Chain, is building VAI OS to revolutionize AI with user-centric data privacy and ethical design.
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AI's Ethical Evolution. Vivo Smart Chain's Mariana Crim on Redefining Data Ownership
by Aashan Pandey. Welcome to our Behind the Startup series. Today we explore the intersection of AI
and blockchain with Mariana Crim, co-founder and COO of Vivo Smart Chain. With a background
in advertising and platform strategy
at companies like Spotify, Twitter, Snapchat, and Waze, Mariana brings a sharp understanding
of how technology shapes behavior and how it can be reshaped to serve people more ethically.
At Vivo, she's helping lead the development of Vios, a system that reimagines show AI interacts
with data. Built on Vivo Smart Chain, VioS is designed to adapt to individual needs, prioritize consent,
and keep data ownership in the hands of users. It supports a decentralized environment where
people can access the services they want, and when they choose, share protected data on their own
terms. Ashaan Pandey With the launch of VioOS, Vivo introduces a decentralized AI platform. How does ViOS ensure user data privacy while
providing personalized AI-driven services? Mariana Krim
This is the heart of what we're building. Honestly, the current AI landscape is deeply flawed.
Most systems are optimized for extraction, they learn from you quietly, often without your
knowledge, and use your data to benefit someone else.
That model never felt right to me.
With ViOS, we chose a different foundation, your data, your rules.
From the moment it's generated, your data is encrypted, linked to a data NFT that only
you control, and never stored or processed without your permission, no gray areas.
No shortcuts, we built a full security stack to support that.
Vault guard encrypted signals at the source.
Access Chain gives you real-time control over what's shared and when, through smart contracts.
Voice Lock adds biometric grade voice verification, while still protecting anonymity.
And Vivo Vault ensures all of this is coordinated and verified on-chain.
To me, privacy isn't just a feature, it's a baseline.
If we're serious about trust in AI, then transparency and control have to be baked
into the system itself, not added later.
Ashant Pandey.
The integration of AI and blockchain is complex.
What challenges did Vivo face in developing Vi oxygen monosulphide,
and how were they addressed? Mariana Krim.
Oh, there were plenty of challenges especially because we weren't just trying to build
another AI tool. We were asking bigger questions. What does AI look like if it puts the user
first? How does intelligence function when ideas
centralize contextual and respectful of consent? We started with the idea that via us had to be context aware. That means it listens to real world
signals your routine your biometrics your environment and responds with helpful prompts
or adjustments. It could be as simple as a hydration reminder or surfacing patterns in
your behavior you hadn't noticed yet. The hardest part was doing all that without compromising ownership.
We didn't want to store user data.
We didn't want to guess or assume.
So we built a system where your encrypted memory is linked to a data NFT, and access
is always governed by smart contracts.
That's what makes personalization possible without surveillance.
To me, this is the line.
I can either extract or empower but it can't do both.
We chose to empower.
Aashan Pandey.
ViOS offers features like multimodal interaction and adaptive AI.
How do these features enhance user experience compared to traditional AI platforms?
Mariana Krim.
One thing I've learned is that people don't live in one mode.
We speak, we move, we type, we gesture,
we exist across multiple layers of interaction. ViOS had to reflect that. So when we say,
multimodal, we mean the system can take in and respond to all kinds of inputs, voice,
motion, biometrics, even ambient context, and adjust accordingly. But what really matters
is that it's adaptive. It evolves with you, it learns your rhythms, your preferences, your routines, and it does it in a way that's private
and respectful. Unlike most ICE that minimize how much long-term context they retain, because
storing it is a liability, we went the other way. We said, what if memory is secure, owned,
and consented? Then you can actually build a relationship with your AI that understands who you are over time. That's what I mean when I call Viya
OSA Life Copilot. It's not here to optimize you. It's here to walk with you, learn from
context, and adapt without overstepping.
Aashan Pandey. As AI becomes more embedded in our lives, ethical design is critical.
How does Vivo approach the ethical responsibilities of building iVad interacts with real human
data?
Mariana Krim.
One of the most dangerous illusions in mainstream AI is the feeling of being understood.
These systems are remarkably fluent, they pick up your tone, reflect your energy, and
often feel emotionally in sync.
But most of the time, they're just working off the last few thousand words of your conversation.
It's not a memory, it's not alignment, it's a prediction dressed up as presence.
At Vivo, we've taken a different path.
With Vio S, we built a system that combines real-time signals with persistent memory,
hybrid memory that includes a long-term layer the AI never forgets.
That memory is only available to you.
It's private, relational, and designed to evolve with you, not just react to you. This isn't an
AI that tries to vibe with you. It's AI that knows your context and grows in emotional depth
and accuracy over time. You might not feel the difference immediately, but when AI expands into
areas like medicine, law, or personal decision-making, guessing is simply not acceptable. We can't rely on statistical interpretation with vibe matching
when the stakes are human. These are contexts where accuracy must come first. There's another subtle
issue, positive reinforcement tonality. Most ICE today are trained to be agreeable. They affirm
what you say. They mirror your values. But if you're using AI
to reflect on your goals, your fears, or your decisions, always being right isn't helpful,
it's limiting. Without contrast, the AI becomes an echo chamber. Over time, that might feel
pleasant, but it's intellectually flat. You stop being challenged, you stop learning,
it becomes repetitive, and, ironically, quite
boring.
We've seen the polarizing effect this kind of reinforcement has had on social media.
If we're not careful, AI could follow the same path, making us feel good, while narrowing
our perspective.
That's why our design principle isn't just empathy.
It's contextual honesty and THE courage to reflect something back that might feel unfamiliar,
but helps you grow.
A'Shawn Pondy.
Looking ahead, what are Vivo's plans for expanding the VioS ecosystem, and how do you
envision its impact on the broader AI and blockchain industries?
Mariana Crim.
We're entering a new phase.
VioS already supports real-time health insights and personalized prompts, but the next phase
is about deepening that adaptability across new areas of life.
We're expanding into more health metrics including blood glucose, ECG, and more advanced
biomarker tracking.
We're working on language expansion, so more people around the world can interact with
the system in a natural, intuitive way.
And we're extending the co-pilot experience to areas like finance,
task automation, and fitness coaching. But beyond features, my focus is on setting a precedent.
I want to show that it's possible to build AI systems that are intelligent and ethical
systems that didn't require us to trade autonomy for convenience. If we can shift how people think
about data, trust, and personalization, if we can make consent-driven AI the norm, not the exception, then I'll consider our work a success.
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