A New Paradigm for the AI Collaborative Economy: The Vision and Innovation of Sahara AI

Sahara AI is committed to building a more open, fair, and collaborative artificial intelligence economic ecosystem. By leveraging blockchain technology, the platform ensures that all participants, including data contributors, annotators, and model developers, receive fair compensation while safeguarding the sovereignty of data and models, as well as the security and tradability of AI assets.

Current State of the AI Stack

The current AI stack mainly includes the following layers:

1. Data collection and annotation: Collect data from various sources and annotate it according to specific tasks.

2. Model training and deployment: Input data into the model and optimize performance by adjusting internal parameters.

3. Creation and Use of AI Agents: Typically requires technical expertise, using tools like TensorFlow.

4. Computing resources: Model training requires expensive processing power.

Although Web2 companies have made efforts in these areas, they face many limitations due to their centralized design. This design leads to isolation between different parts, resulting in inconsistencies in security standards, database design, backend integration, and profit strategies.

Sahara AI's Innovative Solutions

The Sahara platform provides one-stop services that cover the entire lifecycle of artificial intelligence development. It not only lowers the entry barrier for existing systems but also provides equal access for individuals, businesses, and communities to participate in the future development of artificial intelligence.

The platform has designed a complete user journey that showcases the process of AI assets from creation to usage and then to achieving user stickiness. All transactions are immutable and traceable, ensuring a transparent and fair revenue-sharing model.

The target user group of Sahara includes:

• Experienced AI developers: Can interact with the blockchain and AI stack using the Sahara SDK and API.
• AI Development Newbie: Create and deploy AI assets through no-code/low-code environments.
• AI Training Participants: Complete AI training tasks to earn token rewards.
• AI Users: Use AI agents through an intuitive interface and flexibly purchase access rights.
• Enterprise users: Create dedicated AI agents and train them using proprietary data.

Technological Innovation

The Sahara team has incorporated several innovative technologies into the system design:

• Sahara Blockchain: Minimizes gas fees, is EVM compatible, and enables cross-chain communication.
• AI-native precompiled contracts (SAPs): Optimize AI task performance.
• Sahara Blockchain Protocols (SBPs): Manage AI assets and ensure accountability tracking.
• Data Management: On-chain storage of metadata, off-chain storage of important datasets.
• Collaborative Execution Agreement: Supports joint AI model development and deployment.

Strong Team Background

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

In addition, Sahara has received advisory support from top AI researchers and corporate clients, including the Vice Chairman of Motherson Group, human research scientists, and other industry experts.

Currently, Sahara AI has been adopted by over 35 leading technology innovation projects and research institutions, including well-known organizations such as Microsoft, Amazon, and the Massachusetts Institute of Technology.

Conclusion

In today's early stages of generative AI technology, Sahara AI has successfully addressed the challenge of integrating the AI stack through its unique modular design. By leveraging blockchain as a core support, Sahara AI is paving the way for a more accessible and equitable AI future.