The path to AI: Decentralized and on-chain

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The centralized model that dominates AI research and development is reaching its limit. In a recent Fortune article, Vivek Wadhwa, a prominent spokesman for artificial intelligence and machine learning technology, argued that AI is moving past graduate studies and into something more human.

It is becoming increasingly clear that to realize the future of AI development in the creation of artificial general intelligence (AII), the industry must embrace new development methods, including the decentralization of AI models and the physical implementation of these models.

Complexities in decentralized management

But the challenges of creating true AGI are many and complex. We are currently grappling with numerous issues related to data scarcity, computational limitations, and regulatory hurdles. While traditional AI systems are hugely impressive, they are fundamentally limited by their centralized nature and lack of real-world interaction. To overcome these obstacles, we need to adopt a decentralized, blockchain-based approach that extends into the physical world.

The advantages of developing a blockchain-based AGI are manifold. It provides unprecedented scalability, transparency and security in decision-making processes. By distributing computation across a network of nodes, we can leverage collective computing power far beyond what any single entity can achieve.

Although many critics dismiss blockchain technology’s potential to help advance the AI ​​movement, the technology actually offers a convincing solution to many of the current limitations in AI development. By leveraging distributed computing and consensus mechanisms, we can unlock and accelerate AI research and create a clear path to AGI that is not controlled by a handful of companies.

Moreover, AGI cannot exist only in the digital space. To truly understand and interact with our world it must have a physical presence. This is where projects like Optimus AI come into play. These advanced robotics initiatives are not only important developments in themselves; these are key ingredients in creating AGI.

Superintelligence needs a body

Optimus AI and similar humanoid robots represent the bridge between digital intelligence and physical reality; this is already evident in the number of comments annoyed by X that Optimus is a human-controlled robot and not an artificial intelligence. But such advances provide AGI with the tools to collect real-world data, learn from physical interactions, and develop more accurate models of the world. This embodied approach to AI is crucial to creating intelligence that can truly understand and process our complex, three-dimensional world.

The integration of blockchain-based AGI with physical robots creates a powerful opportunity for machine intelligence that pushes the boundaries of what we currently perceive as science fiction. Imagine a decentralized network of AI-powered robots, each contributing to a collective intelligence that grows and evolves with real-world experiences. This distributed, embodied AGI will be much more adaptable and capable than any centralized system limited to server farms.

Of course, there are difficulties to be overcome in realizing this vision. We must address issues such as energy consumption, computational speed, and physical limitations of mechanical robots.

However, these are not insurmountable obstacles. As AI continues to advance, it will play a crucial role in solving these problems, from improving energy efficiency to designing new hardware architectures optimized for AGI.

The economic implications of a decentralized, embodied AGI are profound. By distributing the benefits of AI across a broader network, we can reduce layoffs and create new economic opportunities. Individuals could potentially “own” a piece of the AGI network, allowing their personal AI to work for them and take back control over their time and resources.

Governance of such a system will be a critical issue. We may initially rely on quorum-based decision-making, but as AGI evolves, we should aim for a governance structure that includes the AI ​​itself and is inclusive and driven by unbiased data to minimize human biases.

AGI needs blockchain and robotics

As we move forward, it is crucial to understand that AGI development is not just about creating a disembodied superintelligence. It’s about creating a system that can understand, interact with, and improve our physical world. The combination of blockchain technology and advanced robotics offers us the best way to achieve this goal.

By taking this approach, we can create an AI that is not only incredibly powerful, but also aligned with human values ​​and able to tackle the complex challenges facing our world. The AGI journey will be long and challenging, but by leveraging the power of blockchain and robotics, we are taking important steps towards a future where artificial intelligence and human intelligence can coexist and evolve together.

David Vivancos

David Vivancos is a renowned scientist, author and entrepreneur specializing in artificial intelligence and data science. As the leader of MindBigData and resident AI scientist at Qubic, he focuses on innovative AI applications, including brain-computer interfaces and generative AI technologies. David has currently published three books on AI topics and is dedicated to advancing the field of AI and its integration into various industries.