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The Future of AI Is Decentralized — NEAR’s Vision for Confidential, Fair AI

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Apr 4, 2025

At NVIDIA’s GTC conference, NEAR co-founder Illia Polosukhin unveiled a bold new direction for artificial intelligence — one that’s confidential, decentralized, and fair by design. The research he presented could reshape the entire AI landscape. But what exactly does it mean, and why should you care? Let’s break it down.

At NVIDIA’s GTC conference, NEAR co-founder Illia Polosukhin unveiled a bold new direction for artificial intelligence — one that’s confidential, decentralized, and fair by design. The research he presented could reshape the entire AI landscape. But what exactly does it mean, and why should you care? Let’s break it down.

At NVIDIA’s GTC conference, NEAR co-founder Illia Polosukhin unveiled a bold new direction for artificial intelligence — one that’s confidential, decentralized, and fair by design. The research he presented could reshape the entire AI landscape. But what exactly does it mean, and why should you care? Let’s break it down.

The Problem with AI Today

AI is one of the most transformative technologies of our time. But right now, it's largely in the hands of a few massive tech companies. These corporations own the most powerful models, collect vast amounts of user data, and capture nearly all of the value.

Even open-source AI, while promising, struggles with sustainability. How do developers get paid? How can smaller players compete with trillion-dollar giants?

NEAR AI’s Game-Changing Solution

Illia introduced a new paradigm: decentralized confidential machine learning.
This approach enables AI models to be trained, fine-tuned, and used — without exposing personal data. At the same time, it creates a path for fair monetization, allowing developers and communities to thrive without giving up control to a centralized platform.

Why This Matters for Users

Here’s what this unlocks:

  • Privacy by default – You can use AI tools without handing over your personal data.

  • Transparency – Models are open-source and verifiable.

  • Sustainability – Developers get rewarded for their work, even outside big tech ecosystems.

  • Collaboration – Communities can build AI together, sharing both costs and profits.

Why NEAR Is Built for This

NEAR isn’t just another blockchain. It was designed from the ground up to support AI at scale.

With NEAR, intelligent agents can:

  • Automate workflows

  • Transact securely

  • Interact across networks

  • Preserve privacy and user ownership

This combination of scalability, privacy, and interoperability makes NEAR uniquely positioned to lead in decentralized AI.

What’s Next?

Illia’s GTC presentation made one thing clear: the future of AI doesn’t have to be controlled by a few companies. With NEAR, it can be open, fair, and decentralized — empowering individuals, developers, and communities alike.

Want to dive deeper? Learn more here.

The Problem with AI Today

AI is one of the most transformative technologies of our time. But right now, it's largely in the hands of a few massive tech companies. These corporations own the most powerful models, collect vast amounts of user data, and capture nearly all of the value.

Even open-source AI, while promising, struggles with sustainability. How do developers get paid? How can smaller players compete with trillion-dollar giants?

NEAR AI’s Game-Changing Solution

Illia introduced a new paradigm: decentralized confidential machine learning.
This approach enables AI models to be trained, fine-tuned, and used — without exposing personal data. At the same time, it creates a path for fair monetization, allowing developers and communities to thrive without giving up control to a centralized platform.

Why This Matters for Users

Here’s what this unlocks:

  • Privacy by default – You can use AI tools without handing over your personal data.

  • Transparency – Models are open-source and verifiable.

  • Sustainability – Developers get rewarded for their work, even outside big tech ecosystems.

  • Collaboration – Communities can build AI together, sharing both costs and profits.

Why NEAR Is Built for This

NEAR isn’t just another blockchain. It was designed from the ground up to support AI at scale.

With NEAR, intelligent agents can:

  • Automate workflows

  • Transact securely

  • Interact across networks

  • Preserve privacy and user ownership

This combination of scalability, privacy, and interoperability makes NEAR uniquely positioned to lead in decentralized AI.

What’s Next?

Illia’s GTC presentation made one thing clear: the future of AI doesn’t have to be controlled by a few companies. With NEAR, it can be open, fair, and decentralized — empowering individuals, developers, and communities alike.

Want to dive deeper? Learn more here.

The Problem with AI Today

AI is one of the most transformative technologies of our time. But right now, it's largely in the hands of a few massive tech companies. These corporations own the most powerful models, collect vast amounts of user data, and capture nearly all of the value.

Even open-source AI, while promising, struggles with sustainability. How do developers get paid? How can smaller players compete with trillion-dollar giants?

NEAR AI’s Game-Changing Solution

Illia introduced a new paradigm: decentralized confidential machine learning.
This approach enables AI models to be trained, fine-tuned, and used — without exposing personal data. At the same time, it creates a path for fair monetization, allowing developers and communities to thrive without giving up control to a centralized platform.

Why This Matters for Users

Here’s what this unlocks:

  • Privacy by default – You can use AI tools without handing over your personal data.

  • Transparency – Models are open-source and verifiable.

  • Sustainability – Developers get rewarded for their work, even outside big tech ecosystems.

  • Collaboration – Communities can build AI together, sharing both costs and profits.

Why NEAR Is Built for This

NEAR isn’t just another blockchain. It was designed from the ground up to support AI at scale.

With NEAR, intelligent agents can:

  • Automate workflows

  • Transact securely

  • Interact across networks

  • Preserve privacy and user ownership

This combination of scalability, privacy, and interoperability makes NEAR uniquely positioned to lead in decentralized AI.

What’s Next?

Illia’s GTC presentation made one thing clear: the future of AI doesn’t have to be controlled by a few companies. With NEAR, it can be open, fair, and decentralized — empowering individuals, developers, and communities alike.

Want to dive deeper? Learn more here.