Sahara AI: Creating an Open and Fair Artificial Intelligence Collaborative Economy

Sahara AI is dedicated to creating a more open, fair, and collaborative artificial intelligence economy, allowing everyone to easily participate. Through blockchain technology, Sahara ensures that all contributors (including data providers, annotators, and model developers, etc.) receive fair compensation while safeguarding the sovereignty of data and models, as well as the security of artificial intelligence assets. In addition, the platform also supports the creation, sharing, and trading of permissions.

The Current State of the AI Stack

The current AI stack is mainly 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 service: Input data into the model and adjust internal parameters to minimize errors. This process usually requires a significant amount of computational resources.

3. Creation and Deployment of AI Agents: Typically requires the use of specialized tools and has high technical requirements.

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

Although Web2 companies are working towards improving their AI stack, they face serious limitations due to their centralized design. These companies tend to restrict access and isolate different parts of the stack, leading to varying security standards, database designs, backend integrations, and monetization strategies that cannot effectively respond to the shifts in the artificial intelligence economic model.

Sahara's AI Collaborative Economic Vision

The Sahara platform aims to provide a one-stop service for the entire AI lifecycle, covering various aspects from data collection and labeling to model training and services, as well as the creation and deployment of AI agents, multi-agent communication, AI asset trading, and the crowdsourcing of AI resources. By democratizing the AI development process and lowering the entry barriers of existing systems, Sahara AI offers equal opportunities for individuals, businesses, and communities to participate in the future development of artificial intelligence.

In the Sahara AI ecosystem, all transactions are immutable and traceable, ownership is protected, and the sources of assets are recorded. This design supports a transparent and fair profit-sharing model, ensuring that developers and data providers receive appropriate compensation for generating revenue.

Sahara's Technological Innovations

To achieve its vision, the Sahara team has developed several innovative technologies:

• Sahara Blockchain: Minimizes gas fees, fully compatible with EVM, and achieves secure, permissionless data transfer across blockchains 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, ensure contribution tracking and reward distribution.

• Data Management: Optimize data retrieval, security, and availability by combining on-chain and off-chain storage.

• Collaborative Execution Agreement: Supports the development and deployment of joint AI models across AI training, aggregation, and services.

Team Background and Industry Support

Sahara is led by USC tenured professor Sean Ren and UC Berkeley alumnus Tyler Z. The team members come from renowned institutions and companies such as Stanford University, UC Berkeley, AI2, Toloka, Stability AI, Microsoft, Google, Chainlink, LinkedIn, Avalanche, and others.

In addition, Sahara has also received support from top AI-native researchers and corporate clients, including Laksh Vaaman Sehgal, Vice Chairman of Motherson Group, human research scientist Rohan Taori, Teknium, co-founder of Nous Research, Vipul Prakash, CEO of Together AI, and Elvis Zhang, founding member of Midjourney.

Currently, Sahara AI has been adopted by over 35 leading technology innovation projects and research institutions, including Microsoft, Amazon, MIT, Motherson Group, and Snap, for various AI services such as data collection/annotation and the development of personalized domain-specific agents.

Conclusion

Generative AI technology and market are still in their early stages, and the current centralized chat and video tools have limited coverage due to the difficulty of integrating the entire AI stack into a single product. Sahara AI, through modular design and blockchain technology, is the only company expected to solve this bottleneck. To realize an AI future where everyone can participate, Sahara AI is working to create an accessible and fair artificial intelligence ecosystem.