Sahara AI: Building an Open, Fair, and Collaborative Artificial Intelligence Economy

Sahara AI is committed to creating a more open, fair, and collaborative artificial intelligence economy that enables people to participate more easily. By leveraging blockchain technology, Sahara ensures that all contributors (including data providers, annotators, model developers, etc.) can receive fair compensation while safeguarding the sovereignty of data and models, as well as the security and tradability of AI assets.

Current Overview of AI Technology Stack

The current AI technology stack can be divided into the following levels:

1. Data collection and annotation: Collect data from various sources and annotate it according to specific tasks.
2. Model training and service: Input data into the model and adjust parameters to optimize performance.
3. Creation and Deployment of AI Agents: Typically requires the use of specialized tools and technical knowledge.
4. Computing resources: Provide the necessary processing power for model training.

Although Web2 companies have made efforts in these areas, they still face many limitations due to their centralized design. For example, some companies have built strong foundational models and begun to attract community developers, but only allow superficial customization and do not support the reconstruction of the underlying models.

Sahara AI's Vision: Collaborative AI Economy

The Sahara platform aims to provide a one-stop service for the entire AI lifecycle, covering all aspects from data collection and annotation to model training, services, the creation and deployment of AI agents, as well as multi-agent communication and AI asset trading. By lowering the entry barriers, Sahara AI offers equal participation opportunities for individuals, businesses, and communities to collectively shape the future of AI.

All transactions on the platform are immutable and traceable, ensuring the protection of ownership and the transparent recording of asset origins. This mechanism supports a fair revenue-sharing model, ensuring that developers and data providers can receive appropriate compensation.

User Base of Sahara AI

1. Experienced AI developers: capable of interacting with the blockchain and AI stack using the Sahara SDK and API to create authorized and monetizable AI agents.

2. AI Development Beginners: Create and deploy AI assets using a no-code/low-code environment with intuitive interfaces and preset templates.

3. AI Training Participants: Earn token rewards by completing various AI training tasks.

4. AI Users: Use AI agents through a simple user interface, allowing flexible purchase of access rights and licenses for further development, and even trade shares of AI assets.

5. Enterprise users: can create dedicated AI agents, train them using their own data, and enjoy lower-cost decentralized AI services.

Technological Innovation

The Sahara team has incorporated multiple innovations into the system design:

• Sahara Blockchain: Minimizes gas fees, fully compatible with EVM, achieving secure cross-chain communication.
• AI-native precompiled contracts: Optimize AI task performance and reduce computational overhead.
• Blockchain protocol: Manage AI assets, ensuring contribution tracking and reward distribution.
• Data Management: On-chain storage of metadata and proofs, off-chain storage of important datasets and models.
• Collaborative Execution Agreement: Supports joint AI model development and deployment.

Team Background

Sahara AI is led by a professional team from top universities and technology companies, including USC tenured professor Sean Ren and UC Berkeley alumnus Tyler Z. The team members have extensive experience in AI, blockchain, and the tech industry.

In addition, Sahara has also received support and advice from several experts in the field of AI and corporate clients. Currently, Sahara AI's technology has been adopted by over 35 leading technology innovation projects and research institutions, including many well-known technology companies and academic institutions.

Future Outlook

Generative AI technology is still in its early stages and faces challenges in integrating a comprehensive AI technology stack. Sahara AI, with its unique modular design and blockchain technology, is expected to break through this bottleneck and pave the way for a more open, fair, and accessible AI future.