In recent years, the rapid development of artificial intelligence (AI) has brought forth two critical global issues: resource management and incentive alignment. The escalating costs of AI development, coupled with centralized decision-making, have raised concerns about the sustainability and fairness of AI progress. However, a Pantera Capital partner, Sentient, is aiming to revolutionize the AI landscape by integrating AI with blockchain technology to address these challenges and achieve the dream of Open AGI (Artificial General Intelligence).
The Challenges of AI Development
The escalating cost of AI development has led to significant financial losses for companies like OpenAI. Moreover, AI companies often bear the burden of additional expenses such as sales teams, legal departments, and human resources. This has shifted the focus away from infrastructure design and model development, as companies are forced to prioritize financial stability.
Additionally, decision-making in the AI industry is often centralized, with decisions made by internal circles that prioritize shareholder interests over end-users. This has led to a lack of consideration for the global implications of AI development.
Sentient’s OML Approach
Sentient, a company that aims to solve these challenges, has developed a unique approach called Open Monetizable Loyal (OML). The OML approach focuses on three key aspects: Openness, Monetizability, and Loyalty.
Openness
OML emphasizes the importance of open-source collaboration in AI development. By allowing anyone to build, edit, or extend AI models, Sentient aims to foster innovation and share knowledge within the AI community.
Monetizability
Sentient recognizes that AI models can be valuable assets. By making models monetizable, model owners can earn revenue from their creations, incentivizing further development and innovation.
Loyalty
OML also emphasizes loyalty by ensuring that the AI models are controlled by a collective or DAO (Decentralized Autonomous Organization). This ensures that the interests of end-users are prioritized over those of shareholders.
Blockchain Integration
Sentient’s solution involves integrating AI with blockchain technology to address the challenges of resource management and incentive alignment. Here’s how it works:
Untrusted Blockchain
Sentient builds an untrusted blockchain that allows anyone to contribute to AI model development while maintaining full control over their use. This is achieved through the design of a new cryptographic primitive that leverages the vulnerabilities of AI systems.
Secret Fingerprinting
To ensure that models are only used with permission, Sentient injects unique secret fingerprints into AI models. These fingerprints are used to verify that the model is being used correctly, and any misuse is penalized.
Incentive Alignment
The OML approach allows for the authorization and tracking of specific model usage, which was previously impossible. By incentivizing model owners based on actual usage, Sentient ensures that AI development aligns with the interests of end-users.
Sentient’s Team
Sentient’s team is comprised of talented individuals from prestigious institutions such as Google, DeepMind, Polygon, and Princeton University. Their collective expertise and vision are crucial to the success of the OML approach.
Conclusion
Sentient’s OML approach offers a promising solution to the global challenges of AI development. By integrating AI with blockchain technology, Sentient aims to create an open, monetizable, and loyal AI ecosystem that prioritizes the interests of end-users and fosters innovation in the field of AI. As the AI landscape continues to evolve, solutions like Sentient’s OML approach may play a crucial role in shaping the future of AI development and ensuring that it benefits all of humanity.
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