New Exploration of AI Collaborative Economy: A Comprehensive Analysis of Sahara AI Platform

Sahara AI is committed to building an open, fair, and collaborative artificial intelligence economic ecosystem, allowing more people to easily participate. Through blockchain technology, Sahara ensures that all contributors 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 several aspects such as data collection and labeling, model training and services, the creation and deployment of AI agents, and computing resources. Each aspect faces fierce competition and diverse practices. For example, data collection is best conducted using large public datasets supplemented with specialized data for fine-tuning; model training requires specialized hardware support; AI agent development should be simple and user-friendly to attract developers; and computing resources should be deployed in a distributed manner to accurately reward providers.

However, the centralized design model of traditional Web2 companies faces serious limitations. These companies tend to restrict access and isolate different parts of the stack, leading to inconsistencies in security standards, database design, backend integration, and monetization strategies. This design is difficult to adapt to the rapid changes of the AI economy model.

Sahara AI's Innovative Solutions

The Sahara platform offers a one-stop AI development service that covers the entire process from data collection to model deployment. By lowering the entry barriers, Sahara AI provides equal opportunities for individuals, businesses, and communities to shape the future of AI together.

The platform supports multiple user participation methods:

• Experienced AI developers can leverage the Sahara SDK and API to interact with blockchain and AI stacks, creating AI agents that can be authorized and monetized.
• AI beginners can create AI assets using a no-code/low-code environment with an intuitive interface and pre-built templates.
• Users participating in AI training can complete simple tasks to earn token rewards.
• Ordinary users can use the AI agent through an intuitive interface to flexibly purchase access rights or trade shares of AI assets.
• Enterprises can create dedicated AI agents, leveraging their own data for training, and enjoy the cost advantages brought by decentralization.

Technical Highlights

The Sahara team strives for simplicity and ease of use in system design, while implementing numerous innovations at the underlying level:

• Sahara Blockchain: Minimize gas fees, fully compatible with EVM, and achieve secure cross-chain data transmission through cross-chain communication protocols.
• AI-native precompiled contracts: optimize AI task performance and reduce computational overhead.
• Blockchain Protocol: Manage AI assets, ensuring transparency in contribution tracking and reward distribution.
• Data Management: On-chain storage of metadata and proofs, off-chain storage of important datasets and models, balancing retrieval efficiency, security, and availability.
• Collaborative Execution Agreement: Supports joint AI model development and deployment.

Team Strength and Industry Recognition

Sahara is led by USC professor Sean Ren and former Binance Labs investment director Tyler Z, with team members from top institutions such as Stanford, Berkeley, Microsoft, and Google. Additionally, the project has received advisory support from industry leaders including Motherson Group, Nous Research, and Together AI.

Currently, Sahara AI has been adopted by over 35 leading technology innovation projects and research institutions, including Microsoft, Amazon, and the Massachusetts Institute of Technology, applied in various areas such as data collection, annotation, and personalized agents.

Conclusion

Generative AI technology is still in its early stages, and integrating a complete AI stack remains a challenge. Sahara AI provides a unique solution to this bottleneck through modular design and blockchain technology. In pursuit of an inclusive and fair AI future, Sahara AI is leading the way, continuously striving to build a more open and collaborative AI ecosystem.