The same cycle of technological progress from the Web2 era is now repeating with Superintelligent AI:


First, they attract us.

Generative AIs are highly attractive and easy to use. In some way, they make us feel empowered with superhuman abilities. We immerse ourselves in the magic provided by the machine. They are enabling the democratization of the massive use of this technology.

However, we fail to realize that we are feeding them data with our eyes closed.

And all of this without being aware that sometimes they can hallucinate, leading them to invent things.

Moreover, true intelligence can also think morally, as Noam Chomsky states in his essay published in The New York Times in March 2023, which I encourage you to read and reflect on.

And only humans can think morally.


Then, they will extract from us.

To the core, concerning the privacy of the content we make them work with.

Do we know what lies behind those black holes into which we throw our prompts?

Will our data and the detailed profile information we create during our interactions with these systems be commercialized without our knowledge and permission?

In the current centralized AI model, large amounts of personal data are stored and managed by a few companies, posing significant privacy and security risks that we are already facing. I believe that OpenAI is only open in name.

As Ethereum co-founder Vitalik Buterin indicates:

“We must avoid the risk that most human thought is read and mediated by a handful of companies.”

Decentralized AI can be the solution.

Decentralized artificial intelligence can be a solution to the current model for several key reasons:

  • Privacy and Data Security

Decentralized AI distributes data across multiple nodes, reducing the likelihood of a massive data breach and giving users greater control over their personal information.

  • Transparency and Trust

Blockchain technology provides an immutable and transparent record, which will increase our trust in decentralized AI systems.

  • Resilience and Robustness

In centralized systems, if a company or server fails, the entire system can be compromised. However, decentralized AI is more resilient, as it does not rely on a single point of control or infrastructure. The network remains operational even if some nodes fail.

  • Avoiding Knowledge Monopolies

Decentralized AI will allow greater participation and collaboration from various actors, democratizing access and contribution to the development and use of artificial intelligence.

  • Incentives and Collaborative Economies

Decentralized AI can create fairer incentive models for all actors contributing data to these systems. Using tokens and smart contracts, content creators can be fairly rewarded for their participation in this AI system.


What do you think about this?


Ángel González


Ángel González

By Ángel González

Founder & CEO