🎉 Gate Square Growth Points Summer Lucky Draw Round 1️⃣ 2️⃣ Is Live!
🎁 Prize pool over $10,000! Win Huawei Mate Tri-fold Phone, F1 Red Bull Racing Car Model, exclusive Gate merch, popular tokens & more!
Try your luck now 👉 https://www.gate.com/activities/pointprize?now_period=12
How to earn Growth Points fast?
1️⃣ Go to [Square], tap the icon next to your avatar to enter [Community Center]
2️⃣ Complete daily tasks like posting, commenting, liking, and chatting to earn points
100% chance to win — prizes guaranteed! Come and draw now!
Event ends: August 9, 16:00 UTC
More details: https://www
Sahara AI: Blockchain-driven open artificial intelligence collaboration ecosystem
Sahara AI: Building an Open and Fair AI Collaboration Ecosystem
Sahara AI is committed to creating a more open, fair, and collaborative artificial intelligence economy, allowing people to participate more easily. By leveraging blockchain technology, Sahara ensures that all contributors (including data providers, annotators, and model developers) receive fair compensation while safeguarding the sovereignty of data and models, ensuring the security of AI assets, and supporting 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:
Data collection and annotation: Collect data from various sources and annotate it according to specific tasks.
Model training and service: Input data into the model and adjust parameters to minimize errors. This process usually requires expensive and time-consuming computational resources.
Creation and deployment of AI agents: Typically involves the use of tools like TensorFlow and requires a certain level of technical expertise.
Computing resources: Model training requires a large amount of expensive processing power.
Although Web2 companies are striving to optimize these aspects, they face serious limitations due to their centralized design. These companies often attempt to restrict access and isolate different parts of the technology stack, resulting in varying security standards, database designs, backend integrations, and monetization strategies, making it difficult to adapt to the shift towards an AI-driven economy.
Sahara AI's Collaborative Economy Model
The Sahara platform provides a one-stop service for the entire AI lifecycle, covering various aspects from data collection and annotation to model training and services, the creation and deployment of AI agents, multi-agent communication, AI asset trading, and AI resource crowdfunding. By democratizing the AI development process and lowering the entry barriers of existing systems, Sahara AI offers equal access to individuals, businesses, and communities to collaboratively build the future of AI.
In the Sahara AI ecosystem, the entire process of AI asset creation, usage, and user engagement is recorded. All transactions on the platform are immutable and traceable, ownership is protected, and the sources of assets are clearly documented. This supports a transparent and fair revenue-sharing model, ensuring that developers and data providers receive appropriate compensation for generating revenue.
User Participation Method
Sahara AI provides different types of users with various ways to participate in the AI economy:
Experienced AI developers can interact with the platform using the Sahara SDK and API to create their own AI agents.
AI development beginners can create and deploy AI assets using no-code/low-code environments with intuitive interfaces and pre-built templates.
Users participating in AI training can earn token rewards by completing various AI training tasks.
Regular AI users can easily use AI agents through an intuitive user interface and can flexibly purchase access rights or trade AI asset shares.
Enterprise users can create their own AI agents ("business agents"), train them using proprietary data, and leverage Sahara's decentralized system to reduce costs.
Technological Innovation
The Sahara team has incorporated several innovative technologies into the system design:
Sahara Blockchain: Minimizes gas fees to the greatest extent, fully compatible with EVM, and enables secure, permissionless data transmission through cross-chain communication protocols.
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 for cross-AI training, aggregation, and services.
Team and Advisors
Sahara AI is led by an experienced team whose members come from top universities and well-known technology companies. The team also receives advisory support from several experts in the field of AI, who come from major technology companies and research institutions.
Currently, Sahara AI has been adopted by several leading technology innovation projects and research institutions for various AI services, such as data collection/annotation and personalized domain agents.
As the only company addressing the integration bottleneck of the AI stack through modular design, Sahara AI is striving to achieve an accessible and equitable AI future. By using blockchain as the foundation for permissionless access, token distribution, and security, Sahara AI is creating a more open and collaborative AI ecosystem for everyone.