Sahara AI: Building an Open and Fair Artificial Intelligence Ecosystem

Sahara AI is committed to building a more open, fair, and collaborative artificial intelligence economy, allowing more people to easily participate. By leveraging blockchain technology, Sahara ensures that all contributors (including data providers, annotators, model developers, etc.) receive fair compensation, while safeguarding the sovereignty of data and models, ensuring the security of artificial intelligence assets, and supporting the creation, sharing, and trading of permissions.

Current Status of AI Technology Stack

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

1. Data collection and annotation: Collect data from various sources and annotate it according to specific tasks.
2. Model training and services: Input data into the model and adjust parameters to optimize performance.
3. Creation and Deployment of AI Agents: It typically requires the use of specialized tools and has high technical requirements.
4. Computing resources: Model training requires a large amount of expensive computing resources.

Although Web2 companies have been involved in these areas, they face serious limitations due to their centralized design. This design leads to isolation between different parts, resulting in a disconnection of security standards, database design, backend integration, and profit strategies, making it difficult to adapt to the changes in the artificial intelligence economic model.

Sahara's AI Collaborative Economy Vision

The Sahara platform aims to provide a one-stop service for the entire AI development cycle, covering data collection, annotation, model training, services, creation and deployment of AI agents, as well as multi-agent communication, AI asset trading, and resource crowdsourcing. By democratizing the AI development process and lowering the barriers to entry, Sahara AI offers equal opportunities for individuals, businesses, and communities to collaboratively shape the future of artificial intelligence.

In the Sahara AI ecosystem, the creation, use, and value realization of AI assets are recorded on the blockchain, ensuring the immutability and traceability of transactions while protecting ownership and documenting the origin of assets. This mechanism supports a transparent and fair profit-sharing model, ensuring that developers and data providers receive appropriate compensation.

Sahara's Technological Innovations

The Sahara team strives for simplicity and ease of use in system design, while also developing multiple innovative technologies in the backend.

• Sahara Blockchain: Minimizes gas fees, fully compatible with EVM, and enables secure, permissionless cross-chain data transfer through the Sahara Cross-Chain Communication (SCC) protocol.
• AI-native precompiled contracts (SAPs): Optimize AI task performance and reduce computational overhead.
• Sahara Blockchain Protocols (SBPs): Manage AI assets and ensure accountability tracking.
• Data Management: Optimize data retrieval, security, and availability by combining on-chain and off-chain storage.
• Collaborative Execution Agreement: Supports joint AI model development and deployment.

Team Background and Partners

Sahara is led by Professor Sean Ren, a tenured professor at the University of Southern California, and Tyler Z, an alumnus of the University of California, Berkeley. Team members come from renowned institutions and companies such as Stanford University, the University of California, Berkeley, AI2, Toloka, and Stability AI.

In addition, Sahara has received advisory support from several top AI researchers and corporate clients, including Laksh Vaaman Sehgal, Vice Chairman of Motherson Group, and human research scientist Rohan Taori.

Currently, Sahara AI has been adopted by over 35 leading technology innovation projects and research institutions, including Microsoft, Amazon, and MIT, for services such as data collection/annotation and personalized agent applications.

Conclusion

Generative AI technology is still in its early stages of development, and the difficulty of integrating a complete AI technology stack has limited the application scope of current centralized tools. Sahara AI has successfully addressed this bottleneck through modular design and blockchain technology, paving the way for a more open and equitable AI future.