The current trend in AI research and development has been largely centralized; however, this model is now reaching its limitations. According to a recent Fortune article by Vivek Wadhwa, a well-known spokesperson for AI and machine learning technologies, AI is evolving beyond Language Model Learning to become more human-like.
This shift is integral to the future of AI development, particularly in the creation of artificial general intelligence (AGI). However, to realize this, the industry must explore new methods of development, such as decentralized AI models and physical embodiment of these models.
Nonetheless, the road to AGI is not without its challenges. At present, we are dealing with issues such as data scarcity, computational limitations, and regulatory obstacles. Traditional AI systems, despite their impressive capabilities, are inherently limited by their centralized nature and lack of real-world interaction. To overcome these hurdles, we must embrace a decentralized, blockchain-based approach that extends into the physical world.
A blockchain-based AGI approach offers numerous advantages, including scalability, transparency, and security in decision-making processes. By distributing computation across a network of nodes, we can harness collective computing power that far surpasses what a single entity could achieve.
Critics may downplay the potential of blockchain technology in advancing the AI movement. Nevertheless, it provides a compelling solution to many of the current limitations in AI development. By utilizing distributed computing and consensus mechanisms, we can democratize and accelerate AI research, paving a clear path to AGI that is not controlled by a select few corporations.
Furthermore, AGI cannot exist solely in a digital vacuum. It needs a physical presence to truly understand and interact with our world. Initiatives like Optimus AI exemplify this. These advanced robotics projects are not just significant developments on their own; they are crucial components in the creation of AGI.
Optimus AI and similar humanoid robots serve as the bridge between digital intelligence and physical reality. While there have been comments suggesting that Optimus was a human-controlled robot and not AI, such developments provide AGI with the means to gather real-world data, learn from physical interactions, and develop more accurate world models.
Integrating blockchain-based AGI with physical robotics opens up unprecedented opportunities for machine intelligence. Imagine a decentralized network of AI-powered robots, each contributing to a shared intelligence that grows and evolves through real-world experiences. This distributed, embodied AGI would be far more adaptable and capable than any centralized system confined to server farms.
Of course, this vision comes with its own set of challenges, including energy consumption, computational speed, and the physical limitations of mechanical robots. However, these are not insurmountable. As AI continues to advance, it will play a pivotal role in addressing these issues, from enhancing 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 wider network, we can mitigate job displacement and create new economic opportunities. Individuals could potentially “own” a piece of the AGI network, allowing their personal AI to work for them and reclaim control over their time and resources.
The governance of such a system is a critical consideration. Initially, we may rely on quorum-based decision-making, but as the AGI evolves, we should aim for a governance structure that incorporates AI itself, guided by inclusive and unbiased data to minimize human prejudices.
As we march towards the future, it’s important to remember that AGI development is not just about creating a disembodied superintelligence. It’s about building a system that can understand, interact with, and improve our physical world. The combination of blockchain technology and advanced robotics offers us the best path to achieving this goal.
