The AI native team has launched the Sahara AI platform to create an open and collaborative artificial intelligence ecosystem.

Sahara AI is committed to building a more open, fair, and collaborative artificial intelligence economy, allowing all parties to participate easily. Through blockchain technology, Sahara ensures that all contributors receive fair compensation, data and models maintain sovereignty, AI assets are secure and reliable, and supports the creation, sharing, and trading of permissions.

Current Status of AI Technology Stack

The current AI technology stack can be divided into the following levels:

1. Data collection and annotation: Collect data from various sources and perform corresponding annotations.

2. Model training and service: Inputting data into the model for training, which requires a large amount of computing resources.

3. The creation and deployment of AI agents: Usually requires specialized technical knowledge.

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

Competition is fierce and diverse at every level. Although some large tech companies have made progress in these areas, they still face many limitations due to their centralized design. For example, a well-known AI company has built a powerful foundational model and developer ecosystem, but only allows superficial customization, does not support underlying model reconstruction, and has high operational costs.

Sahara AI's Collaborative Economy Model

Sahara platform provides one-stop services for the entire AI lifecycle, covering all aspects from data collection to model deployment. By democratizing the AI development process and lowering the entry barriers, Sahara AI offers equal participation opportunities for individuals, businesses, and communities.

All transactions within the platform are immutable and traceable, ensuring the protection of asset ownership and the fairness and transparency of profit distribution. Sahara aims to enable participants from different backgrounds to easily join the AI economy:

• Experienced AI developers can interact with the blockchain using the Sahara SDK and API to create custom AI agents.

• AI developers can quickly build and deploy AI assets through no-code/low-code environments.

• Ordinary users can complete simple AI training tasks to earn token rewards.

• AI users can utilize various AI agents through an intuitive interface and flexibly purchase access permissions.

• Enterprises can create dedicated AI agents, train them using their own data, and enjoy lower operational costs.

Technical Overview

The Sahara team focuses on simplicity and ease of use when designing the system, while also developing many innovative technologies in the backend:

• Sahara blockchain minimizes gas fees to the greatest extent and is fully compatible with EVM.

• AI-Native Precompiles optimize the performance of AI tasks.

• Manage AI assets on the blockchain protocol, ensuring contribution tracking and reward distribution.

• Data management adopts a combination of on-chain and off-chain methods, balancing efficiency and security.

• The collaborative execution agreement supports the development and deployment of joint AI models.

Team Background

Sahara is led by Professor Sean Ren from the University of Southern California and Tyler Z, an alumnus of the University of California, Berkeley. The team members come from well-known institutions such as Stanford University, AI2, Microsoft, and Google. In addition, the project has received advisory support from several top AI researchers and corporate clients.

Currently, Sahara AI has been adopted by more than 35 leading technology innovation projects and research institutions for various AI services such as data collection, annotation, and personalized domain agents.

Against the backdrop of generative AI still being in its early stages, Sahara AI, through modular design and blockchain technology, has become the only company dedicated to building an accessible and fair AI future.