I want to build AI Do you use the application without anyone controlling it? Want to own an AI creation?
We’ll look at this in the next article. Coinbold.
Sahara AI We are revolutionizing the AI industry by putting power back in the hands of the people. We create an open space where anyone can develop and share AI applications. With Sahara AI, the future of AI is no longer controlled by a few large companies. Let’s take a look at how Sahara AI is reshaping the AI industry and creating a fairer AI future.
What is Sahara AI?
Sahara AI It is a decentralized blockchain designed to create an open, fair, and collaborative environment. AI economy. The platform aims to address the inherent limitations of centralized AI platforms, including lack of transparency, centralized control, and unequal access. Sahara AI provides a transparent, secure, and inclusive AI ecosystem that empowers individuals to collectively own and shape the future of artificial intelligence.
Vision and Mission
How can we create a fair, transparent, and decentralized AI economy? Sahara AI provides innovative solutions utilizing blockchain technology. Let’s take a look at key aspects of Sahara AI’s vision and mission.
Strengthening AI capabilities with blockchain
- Proof of ownership: Sahara AI leverages blockchain to establish clear ownership of AI assets, including models, data, and agents. This increases transparency, prevents ownership disputes, and strengthens trust and collaboration.
- Transparent reward distribution: Blockchain allows individuals to accurately track and record their contributions to developing and leveraging AI assets. This ensures fair and transparent compensation distribution and encourages active participation from all stakeholders.
- Security and Transparency: Blockchain creates a transparent system where all transactions and data can be securely recorded and tracked. This increases security, minimizes fraud, and builds trust among users.
AI-related blockchain features
- Federated Learning Protocol: Sahara AI has developed a blockchain protocol that supports federated learning, enabling collaborative training of AI models. This unlocks the potential for more powerful and efficiently trained AI models.
- Homomorphic encryption and secret sharing: Sahara AI integrates data privacy features such as homomorphic encryption and secret sharing to protect AI data and assets while supporting computation and data sharing.
- Decentralized AI Assets: Sahara AI allows users to create and own decentralized AI assets, giving them full control and management of their assets.
challenges and opportunities
Scaling blockchain to handle the large data and transaction volumes generated by AI applications remains a challenge. Building a strong community of developers, users, and investors is essential to the success of Sahara AI. Optimizing the consensus mechanism to ensure fast and efficient transaction processing is another important area.
Sahara AI is a promising initiative that leverages blockchain technology to address fundamental challenges in the AI industry, particularly ownership and reward distribution. This platform has the potential to usher in a new era of AI where ownership, transparency, and collaboration are key principles. However, overcoming challenges such as scalability, community building, and optimizing consensus mechanisms are critical to success.
architecture
Sahara AI is built on a layered architecture that combines both on-chain and off-chain components to comprehensively and efficiently support AI activities. This architecture can be divided into four main layers:
application layer
- The platform’s primary user interface through which developers and users interact with Sahara AI’s features and services.
- Provides integrated applications that facilitate AI asset creation and management.
- Includes development and deployment tools for a variety of skill levels.
- Key components include Sahara Agent, Sahara Vault, and Sahara Toolkit.
transaction layer
- It is a decentralized blockchain platform that uses the Tendermint consensus mechanism to ensure safety and security.
- Manage ownership, provenance, and transactions related to AI assets.
- Utilizes special blockchain protocols designed for AI, such as AI Asset Management Protocol and Secret Sharing Protocol.
data layer
- Manages data storage and retrieval for AI tasks, including both on-chain and off-chain data.
- Integrates distributed data storage solutions such as IPFS for sensitive data and traditional cloud storage for large data processing.
- We implement advanced data security mechanisms to ensure privacy and data protection.
execution layer
- Executes AI protocols and functions to handle tasks related to AI computation, model training, and asset management.
- It uses specific protocols for AI, including collaborative model training, homomorphic encryption, and secret sharing protocols.
- Efficiently manage computing resources to optimize performance and costs.
- Integrates components such as Vault, AI Agent, and execution protocols.
Benefits of a Layered Architecture
- Improved scalability: The layered architecture allows the platform to easily scale to meet the growing needs of the AI industry.
- Transparency and Security: Each layer is designed to ensure transparency and security and protect data and AI assets.
- Efficiency and Flexibility: The layered structure allows the platform to operate efficiently and flexibly, supporting a variety of applications and use cases.
Sahara AI’s layered architecture is a smart and effective design that allows the platform to comprehensively and efficiently support AI activities while addressing issues related to security, ownership, and profit distribution.
However, successfully implementing this architecture will require significant effort from Sahara AI, including building specialized blockchain protocols for AI, attracting developers and users, and demonstrating the platform’s effectiveness in real-world applications.
* Download the lightpaper of the Sahara AI project See here for more details.
team
The Sahara AI team is comprised of experts in the AI and Web3 industries, with years of experience working at top technology companies and prestigious research institutions.
The co-founders are responsible for:
- Sean WrenThe CEO is a seasoned AI expert with more than 10 years of experience. Ren has received awards including 2023 Samsung AI Research Fellow, MIT Tech Review 35 Under 35, and Forbes 30 Under 30 for his research and innovation in the field of AI.
- Tyler ZhouAs COO, he brings valuable blockchain and growth expertise gained from his time as Investment Director at Binance Labs.
The rest of the Sahara AI team boasts extensive experience from institutions such as Stanford, USC, UC Berkeley, AI2, Toloka, Stability AI, Microsoft, Binance, Google, Chainlink, LinkedIn, Avalanche, and more.
Sahara AI is also fortunate to have the support and guidance of renowned experts in AI and enterprise, including:
- Laksh Vaaman Sehgal (Vice Chairman, Motherson Group)
- Rohan Taori (Anthropic Researcher)
- Technium (Co-founder of Nuss Research)
- Vipul Prakash (CEO of Together AI)
- Elvis Jang (Midjourney founding member)
This diverse and experienced team is ready to transform centralized AI environments and create a collaborative AI economy that benefits everyone.
Investors and Sponsors
Sahara AI It recently closed a $43 million Series A funding round. The investment was co-led by well-known venture capital firms Binance Labs, Pantera Capital, and Polychain Capital, with other well-known investors also participating.
Key investors and supporters:
- Binance Labs: Binance Labs, the venture arm of leading cryptocurrency exchange Binance, has invested in Sahara AI to support its mission to democratize AI.
- Panther Capital: Pantera Capital, a pioneer in blockchain and cryptocurrency investments, supported Sahara AI’s vision to build a collaborative AI economy.
- Polychain Capital: Polychain Capital, another prominent venture capital firm focused on blockchain and cryptocurrency, co-led the Series A round, recognizing Sahara AI’s potential to disrupt centralized AI environments.
- samsung: Electronics giant Samsung also participated in the funding round, demonstrating interest in Sahara AI’s decentralized AI platform and potential applications.
- Other investors: The round also attracted investments from other prominent venture capital firms, including: sequoia Capital, matrix partner, Mirana Ventures, prediction venture, alumni ventureand formal encryptionespecially.
This significant investment strongly supports Sahara AI’s mission to create a more open, fair, and accessible AI ecosystem. Sahara AI aims to leverage blockchain technology to enable individuals and organizations to participate in and benefit from AI development and deployment, while ensuring data sovereignty, transparency, and fair compensation for all contributors.
With this significant funding, Sahara AI is well-positioned to accelerate development and expand its reach. The company plans to invest in research and development, expand its team, and build a strong ecosystem of developers and users.
conclusion
Sahara AI It represents a bold vision for the future of AI, with the potential to disrupt industries and change the way we interact with technology. By empowering individuals and organizations to own and control AI assets, Sahara AI is paving the way for a more equitable and decentralized AI ecosystem.
What sets Sahara AI apart is its unique combination of blockchain technology, AI capabilities, and a strong focus on community. With strong support from prominent investors and a passionate team, Sahara AI is well-positioned to become a major player in the AI space.
Sahara AI is still in its early stages, but its potential is undeniable. As the project continues to evolve, it will be interesting to see how it addresses the challenges facing the AI industry and shapes the future of artificial intelligence.
Sahara AI is a promising project that will revolutionize the AI industry. However, this is just a Coinbold reference article and is not investment advice. Investment decisions always involve risk, so you should do your own research before making a decision.