The Future of AI Collaborative Economy: Overview of Sahara AI Platform

Sahara AI is committed to building a more open, fair, and collaborative artificial intelligence economic system, allowing various participants to easily take part. Through blockchain technology, Sahara ensures that all participants, including data contributors, annotators, and model developers, can receive fair compensation, while safeguarding the sovereignty of data and models, as well as the security and tradability of AI assets.

The Current State and Challenges of AI Stack

The current AI stack mainly includes the following layers:

1. Data Collection and Annotation
2. Model Training and Deployment
3. Creation and Use of AI Agents
4. Providing Computing Resources

Every level is facing fierce competition and has formed relatively effective execution methods. For example, data collection is best conducted using large public datasets for foundational training, followed by fine-tuning with specialized datasets. Model training needs to be performed on specialized hardware, while the development of AI agents should be simplified as much as possible to attract more developers to participate.

However, traditional Web2 companies face many limitations in advancing this direction. Due to their centralized design, these companies often isolate different parts of the stack, leading to varying security standards, database designs, backend integrations, and profit strategies. This design struggles to adapt to the rapid changes in the AI economic model.

Sahara AI's Innovative Solutions

The Sahara platform aims to provide a one-stop service for the entire AI development lifecycle, covering the whole process from data collection and labeling to model training, deployment, and the creation and use of AI agents, as well as AI asset trading. By lowering the entry barriers of existing systems, Sahara AI offers individuals, businesses, and communities equal opportunities to participate in the construction of the future of AI.

The main features of the platform include:

• All transactions are immutable and traceable.
• Asset ownership is protected, and sources are traceable.
• Supports a transparent and fair profit-sharing model

Sahara provides flexible participation methods for different types of users:

• Experienced AI developers can use the Sahara SDK and API for in-depth development.
• New developers can quickly get started in a no-code/low-code environment.
• Ordinary users can participate in AI training and earn rewards by completing simple tasks.
• Enterprise users can create their own AI agents and train them using proprietary data.

Technological Innovation

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

• Sahara Blockchain: Minimize gas fees, EVM compatible
• AI Native Precompiled Contracts: Optimize AI Task Performance
• Blockchain Protocol: Manage AI Assets, Ensure Accountability Traceability
• Data management: Combining on-chain and off-chain to optimize security and usability.
• Collaborative Execution Agreement: Supports joint AI model development and deployment

Team Background and Partners

Sahara is composed of experts from top universities and technology companies, including USC tenured professor Sean Ren and former Binance Labs investment director Tyler Z. Team members have backgrounds from Stanford University, University of California Berkeley, AI2, Toloka, Stability AI, and more.

In addition, Sahara has received support and advice from several experts in the AI field, including the Vice Chairman of Motherson Group and the CEO of Together AI.

Currently, Sahara AI has been adopted by more than 35 leading technology innovation projects and research institutions, including Microsoft, Amazon, and the Massachusetts Institute of Technology, for applications in data collection, annotation, and personalized intelligent agent development.

Conclusion

Generative AI technology is still in its early stages of development and faces challenges in integrating full-stack AI solutions. Sahara AI offers new possibilities for building a more open and fair AI ecosystem through modular design and blockchain technology. It is committed to making it easy for everyone to participate in the AI economy, paving the way for the future development of AI.