Most AI models today are built and controlled by a few large companies.
You use them, build on top of them, but have no say in how they’re trained, what data they use, or how the economics work.
Enter Decentralized AI (DeAI)
That’s where Decentralized AI (DeAI) starts to get interesting.
Instead of relying on closed infrastructures and centralized ownership, DeAI flips the architecture:
Training, governance, and value capture all happen on-chain openly and collectively.
We’re talking about models built in the open, trained using contributions from a distributed network of participants, and governed by smart contracts that reward value-added work.
Not Just a Vision Anymore
Projects like Nous Research are already building it on Solana, having raised $50M to push the model forward.
How DeAI Changes the Game
→ Anyone can contribute compute, data, or curation, and get rewarded for it
→ Every step of model training is auditable and traceable
→ Incentives are baked into the system, and tokens align contribution with value
→ No dependency on any one company’s infrastructure or policies
An AI Ecosystem as an Open Protocol
What we get is an AI ecosystem that behaves more like an open protocol than a product.
The result? Potentially massive benefits for developers, researchers, and companies who want transparency, flexibility, and control.
Why This Is Possible Now
We’ve reached a point where the coordination layer blockchains can finally support something this distributed.
With:
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Stable token economies
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Verifiable reputation systems
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Maturing smart contract infrastructure
…the building blocks are here.
The question is: Would you trust an LLM trained this way?
