Community Ownership
Review
Pros & Cons
Unlike traditional AI systems controlled by large corporations (for example OpenAI), Sentient operates on a decentralized network. This ensures that no single entity has control over the entire system.
Open-Source
Sentient promotes openness by making AI models accessible to anyone. This openness should encourage collaboration and innovation, allowing developers worldwide to contribute. By being open, Sentient aims to attract the best ideas and solutions from a diverse pool of contributors.
Monetization Opportunities
Creators of AI models can monetize their contributions. This is achieved through a blockchain-based incentive mechanism that rewards developers for their work. By providing a path to monetization, Sentient motivates builders to create high-quality AI models and continuously improve them.
Experienced Team
Co-founder of the Polygon is a member of the Sentient Foundation’s committee, while other Sentient contributors are experienced professors, AI researchers and developers.
Funding Challenges
Non-profit foundations often face less financial flexibility compared to large corporations, making it more challenging to secure funding.
Scalability Issues
Decentralized systems often face slower decision-making due to reliance on consensus. For example, blockchain networks may experience delays in updates or transaction processing as more participants join, challenging scalability.
Competitive Market
Competing with platforms like OpenAI or AWS can limit adoption, as these centralized systems offer advanced tools, large user bases, and proven reliability.
Ethical and Legal Risks
The project might raise ethical concerns about misuse or unintended consequences of open-source models if not adequately governed.