Problem Statement

The current AI landscape is predominantly monopolized by a few tech giants that control the development, deployment, and monetization of AI technologies. These companies are engaged in a competitive race to build AGI, making crucial decisions for humanity with little to no public input or accountability. This centralized model of AI development presents several challenges:

• Lack of Accessibility and Inclusivity: Limited access to AI development tools and platforms creates barriers for talented developers and researchers who wish to contribute to AI innovation. The current model excludes a large portion of humanity from participating in the AI economy.

• Concentration of Power and Influence: A few entities control vast amounts of data and AI models, concentrating power and influence in the hands of a small elite. This imbalance prevents fair value distribution and limits the potential for collaborative progress in AI.

• Ethical and Privacy Concerns: Centralized AI models are prone to biases, lack of transparency, and ethical issues. There is also a growing concern about data privacy and security, as centralized AI systems can be exploited for unauthorized surveillance and data breaches.

• Safety Risks: The closed nature of AI development creates risks of unsafe and unaligned AI systems that could have unintended and potentially harmful consequences for society.

These challenges highlight the need for a new approach to AI development—one that is decentralized, open, and aligned with the broader interests of humanity.