Sahara AI is a decentralized blockchain platform focused on making AI technology more accessible to individuals and businesses. It aims to democratize artificial intelligence using decentralized methods. The platform emphasizes fairness, transparency, and privacy protection, offering decentralized ownership and governance mechanisms to ensure that contributors receive the recognition and rewards they deserve.
Decoding Decentralized AI: Sahara AI
On August 26, 2024, Sahara AI, the AI blockchain platform, unveiled its roadmap. The first phase of the Sahara AI Marketplace will begin in the third quarter of 2024 to facilitate collaboration on knowledge bases. In the fourth quarter, a testnet for Sahara Chain will be launched, allowing developers and users to test and validate its features. The mainnet for Sahara Chain is set to launch in the first quarter of 2025, enabling the operation of decentralized AI applications. By the second quarter of 2025, Sahara agents will be deployed, equipped to perform complex tasks and make decisions using decentralized data through advanced AI capabilities.
Source: Official X account of Sahara AI
The Sahara AI project is rooted in the issue of power concentration in the artificial intelligence field. Currently, a few major tech companies dominate the development, deployment, and monetization of AI models and applications, hoarding knowledge and creativity from users, developers, and innovators. Unfortunately, these contributors often receive little to no recognition or compensation for their efforts. This inequitable system stifles smaller innovators, whose creativity inadvertently fuels the growth of large corporations without any benefit to them. As a response, Sahara AI aims to create a fairer and more transparent AI ecosystem, ensuring that all participants can share in the value and benefits generated by AI development. The project seeks to prevent privacy violations and excessive power concentration while promoting the broader societal use of AI’s potential.
Most AI technologies today remain entrenched in the Web 2.0 model, where users trade their knowledge contributions for access to AI and machine learning tools. Centralized AI providers often exploit users’ proprietary models and data in opaque ways, failing to protect privacy or offer fair compensation. Sahara AI presents a human-centered alternative that fundamentally changes this model by prioritizing personal privacy and rewarding all contributors. The main advantages of Sahara AI can be summarized in three key areas:
Key Components of the Sahara AI Ecosystem:
Together, these components form a comprehensive, user-friendly, and secure platform for collaborative AI development and deployment, facilitating the broader adoption and innovation of artificial intelligence.
The Sahara network is made up of two main layers: the execution layer and the application layer.
Execution Layer
This layer facilitates the deployment of AI, encompassing data, models, and knowledge agents, while ensuring four critical attributes: high performance, decentralization, privacy, and attribution (tracking ownership and the impact of data ownership). Individual nodes safeguard data storage, transfer data between them, and support the development of applications like Sahara Data and knowledge agents (KAs).
The execution layer employs decentralized low-rank adaptation for large language models (LoRA) to fine-tune models, ensuring high performance. It maximizes end-to-end rewards, allowing for customization and evolution while guaranteeing secure data processing and dynamic management. Additionally, it features privatized parameter handling with personalized adaptations and plug-and-play capabilities.
User privacy is upheld through privacy-preserving training and inference, allowing personal data to be securely stored on either private or decentralized public nodes, with encryption methods applied during training.
Provenance involves proof of ownership through digital watermarks and commitment schemes, as well as secure data storage and access using public key infrastructure and AES encryption. Data transmission is protected through private computation and homomorphic encryption.
Without the execution layer, the sources and attribution of individual knowledge capital could not be established. The application layer enables the democratization of the current AI economy and encourages the growth of a collaborative economy.
Application Layer
Source: Official X account of Sahara AI
The application layer is built on top of the execution layer and features several systems, including a unique built-in data marketplace for data collection, labeling, and access—something that other AI networks in Web3 currently lack.
Source: Official X account of Sahara AI
Sahara is more than just a trading platform; it incentivizes the entire economic ecosystem through a process called verification staking. Using Web3 technology, it separates personal data from the training of public models, ensuring that personal information is properly attributed and that data owners receive compensation.
Participants can earn rewards in three main ways:
The Sahara ecosystem consists of five key roles that support this economic model:
This structure establishes a self-sustaining ecosystem where participants can benefit from their contributions—whether operating nodes, sharing knowledge and data, verifying information, fine-tuning models, or developing autonomous agents.
The Sahara AI platform was co-founded by Professor Sean Ren from the University of Southern California and blockchain expert Tyler Zhou. Professor Ren is well-respected in AI research and innovation, with accolades including Samsung’s Annual AI Researcher Award, MIT TR35 Pioneer Innovator, and Forbes 30 Under 30. He has significantly advanced the AI field. Tyler Zhou, formerly the investment director at Binance Labs, brings extensive blockchain industry experience. Together, they have built a strong technical and industry foundation for Sahara, supported by a team of over 30 top AI contributors.
Sahara AI has raised a total of $49 million in funding. On May 20, 2024, they announced a $6 million seed round led by Polychain Capital, with participation from Sequoia Capital, Samsung Next, Nomad Capital, and others. On August 14, 2024, Sahara AI secured an additional $43 million, led by Binance Labs, Pantera Capital, and Polychain Capital, with involvement from major global investors such as Samsung, Matrix Partners, Thailand’s Kasikornbank, dao5, Alumni Ventures, Geekcartel, Nomad Capital, Mirana Ventures, and Foresight Ventures. This funding will be directed towards expanding the global team, improving AI blockchain performance, and accelerating the developer ecosystem’s growth.
Sahara has not yet issued any tokens, but given its collaborative economic model, there is a strong possibility that a token will be launched in the future. For now, users can earn points by participating in activities on Galxe. You can find the activity here.
Instructions for Participation:
Sahara AI is a decentralized blockchain platform focused on democratizing and ensuring fairness in artificial intelligence. Its unique collaborative economic model allows both individuals and businesses to engage in the development and use of AI together. While decentralized AI is still in its infancy and faces challenges like data quality, standardization, and security, it has significant potential for privacy protection, transparent ownership, and equitable distribution. As the Sahara platform evolves and potentially introduces tokens and airdrop programs, it is well-positioned for rapid growth.
Reference:
Sahara AI is a decentralized blockchain platform focused on making AI technology more accessible to individuals and businesses. It aims to democratize artificial intelligence using decentralized methods. The platform emphasizes fairness, transparency, and privacy protection, offering decentralized ownership and governance mechanisms to ensure that contributors receive the recognition and rewards they deserve.
Decoding Decentralized AI: Sahara AI
On August 26, 2024, Sahara AI, the AI blockchain platform, unveiled its roadmap. The first phase of the Sahara AI Marketplace will begin in the third quarter of 2024 to facilitate collaboration on knowledge bases. In the fourth quarter, a testnet for Sahara Chain will be launched, allowing developers and users to test and validate its features. The mainnet for Sahara Chain is set to launch in the first quarter of 2025, enabling the operation of decentralized AI applications. By the second quarter of 2025, Sahara agents will be deployed, equipped to perform complex tasks and make decisions using decentralized data through advanced AI capabilities.
Source: Official X account of Sahara AI
The Sahara AI project is rooted in the issue of power concentration in the artificial intelligence field. Currently, a few major tech companies dominate the development, deployment, and monetization of AI models and applications, hoarding knowledge and creativity from users, developers, and innovators. Unfortunately, these contributors often receive little to no recognition or compensation for their efforts. This inequitable system stifles smaller innovators, whose creativity inadvertently fuels the growth of large corporations without any benefit to them. As a response, Sahara AI aims to create a fairer and more transparent AI ecosystem, ensuring that all participants can share in the value and benefits generated by AI development. The project seeks to prevent privacy violations and excessive power concentration while promoting the broader societal use of AI’s potential.
Most AI technologies today remain entrenched in the Web 2.0 model, where users trade their knowledge contributions for access to AI and machine learning tools. Centralized AI providers often exploit users’ proprietary models and data in opaque ways, failing to protect privacy or offer fair compensation. Sahara AI presents a human-centered alternative that fundamentally changes this model by prioritizing personal privacy and rewarding all contributors. The main advantages of Sahara AI can be summarized in three key areas:
Key Components of the Sahara AI Ecosystem:
Together, these components form a comprehensive, user-friendly, and secure platform for collaborative AI development and deployment, facilitating the broader adoption and innovation of artificial intelligence.
The Sahara network is made up of two main layers: the execution layer and the application layer.
Execution Layer
This layer facilitates the deployment of AI, encompassing data, models, and knowledge agents, while ensuring four critical attributes: high performance, decentralization, privacy, and attribution (tracking ownership and the impact of data ownership). Individual nodes safeguard data storage, transfer data between them, and support the development of applications like Sahara Data and knowledge agents (KAs).
The execution layer employs decentralized low-rank adaptation for large language models (LoRA) to fine-tune models, ensuring high performance. It maximizes end-to-end rewards, allowing for customization and evolution while guaranteeing secure data processing and dynamic management. Additionally, it features privatized parameter handling with personalized adaptations and plug-and-play capabilities.
User privacy is upheld through privacy-preserving training and inference, allowing personal data to be securely stored on either private or decentralized public nodes, with encryption methods applied during training.
Provenance involves proof of ownership through digital watermarks and commitment schemes, as well as secure data storage and access using public key infrastructure and AES encryption. Data transmission is protected through private computation and homomorphic encryption.
Without the execution layer, the sources and attribution of individual knowledge capital could not be established. The application layer enables the democratization of the current AI economy and encourages the growth of a collaborative economy.
Application Layer
Source: Official X account of Sahara AI
The application layer is built on top of the execution layer and features several systems, including a unique built-in data marketplace for data collection, labeling, and access—something that other AI networks in Web3 currently lack.
Source: Official X account of Sahara AI
Sahara is more than just a trading platform; it incentivizes the entire economic ecosystem through a process called verification staking. Using Web3 technology, it separates personal data from the training of public models, ensuring that personal information is properly attributed and that data owners receive compensation.
Participants can earn rewards in three main ways:
The Sahara ecosystem consists of five key roles that support this economic model:
This structure establishes a self-sustaining ecosystem where participants can benefit from their contributions—whether operating nodes, sharing knowledge and data, verifying information, fine-tuning models, or developing autonomous agents.
The Sahara AI platform was co-founded by Professor Sean Ren from the University of Southern California and blockchain expert Tyler Zhou. Professor Ren is well-respected in AI research and innovation, with accolades including Samsung’s Annual AI Researcher Award, MIT TR35 Pioneer Innovator, and Forbes 30 Under 30. He has significantly advanced the AI field. Tyler Zhou, formerly the investment director at Binance Labs, brings extensive blockchain industry experience. Together, they have built a strong technical and industry foundation for Sahara, supported by a team of over 30 top AI contributors.
Sahara AI has raised a total of $49 million in funding. On May 20, 2024, they announced a $6 million seed round led by Polychain Capital, with participation from Sequoia Capital, Samsung Next, Nomad Capital, and others. On August 14, 2024, Sahara AI secured an additional $43 million, led by Binance Labs, Pantera Capital, and Polychain Capital, with involvement from major global investors such as Samsung, Matrix Partners, Thailand’s Kasikornbank, dao5, Alumni Ventures, Geekcartel, Nomad Capital, Mirana Ventures, and Foresight Ventures. This funding will be directed towards expanding the global team, improving AI blockchain performance, and accelerating the developer ecosystem’s growth.
Sahara has not yet issued any tokens, but given its collaborative economic model, there is a strong possibility that a token will be launched in the future. For now, users can earn points by participating in activities on Galxe. You can find the activity here.
Instructions for Participation:
Sahara AI is a decentralized blockchain platform focused on democratizing and ensuring fairness in artificial intelligence. Its unique collaborative economic model allows both individuals and businesses to engage in the development and use of AI together. While decentralized AI is still in its infancy and faces challenges like data quality, standardization, and security, it has significant potential for privacy protection, transparent ownership, and equitable distribution. As the Sahara platform evolves and potentially introduces tokens and airdrop programs, it is well-positioned for rapid growth.
Reference: