The New Era of AI Collaborative Economy: A Comprehensive Analysis of Sahara AI

Sahara AI is building an open, fair, and collaborative artificial intelligence economic system aimed at lowering the barriers to entry, allowing more people to easily participate in the development of AI. Through blockchain technology, Sahara ensures fair compensation for all contributors, safeguards the sovereignty of data and models, while enhancing the security and tradability of AI assets.

The Current State and Challenges of AI Stacks

The current AI stack mainly consists of the following layers:

1. Data Collection and Annotation
2. Model Training and Services
3. Creation and Deployment of AI Intelligent Entities
4. Provision of computing resources

There is intense competition at every level, but some relatively effective execution methods have already formed. For example, data collection tends to use large public datasets supplemented with specialized data for fine-tuning; model training requires dedicated hardware support; the development of AI agents needs user-friendly resources; and computing resources should be distributed to accurately reward providers.

However, traditional Web2 companies face limitations brought about by centralized design in this regard. They often isolate various parts of the stack, leading to different security standards, database designs, and monetization strategies, making it difficult for such designs to adapt to the rapid changes in the AI economic model.

Sahara AI's Innovative Solutions

The Sahara platform offers a one-stop service that covers the entire AI development lifecycle. It democratizes the AI development process, lowers the entry barriers of existing systems, and provides equal opportunities for individuals, businesses, and communities.

The platform supports the following types of users:

• Experienced AI developers can use the Sahara SDK and API to create custom AI agents.
• AI development beginners can easily create and deploy AI assets through no-code/low-code environments.
• AI training participants can complete simple tasks to earn token rewards.
• Ordinary users can use the AI intelligence through an intuitive interface, and can even trade AI asset shares.
• Enterprises can create their own AI agents and train them using proprietary data, at a lower cost.

Technological Innovation

The Sahara team has made several innovations at the technical level:

• Sahara Blockchain: Minimizes gas fees, compatible with EVM, supports cross-chain communication
• AI-Native Precompiles: Precompiled smart contracts that optimize AI task performance
• Sahara Blockchain Protocol: Manage AI assets, ensure contribution tracking and reward distribution
• Data Management: Combining on-chain and off-chain to optimize data retrieval, security, and availability
• Collaborative Execution Agreement: Supports joint AI model development and deployment

Team Background and Partners

The Sahara team is led by USC professor Sean Ren and UC Berkeley alumnus Tyler Z, with team members from top institutions such as Stanford University and UC Berkeley, as well as renowned tech companies like AI2, Microsoft, and Google.

In addition, Sahara has received advisory support from several top AI researchers and corporate clients. Currently, more than 35 leading technology innovation projects and research institutions are using Sahara AI's services, including Microsoft, Amazon, and the Massachusetts Institute of Technology.

Future Outlook

Generative AI is still in its early stages of development, and traditional centralized tools struggle to fully integrate the entire AI stack. Sahara AI offers a unique solution to this bottleneck through its modular design and blockchain technology. It is committed to creating a more open, fair, and accessible AI future, providing everyone with the opportunity to participate in AI development.