The new collaborations span a variety of applications, from synthetic social networks to AI-driven trading platforms. Notable among the partners is CharacterX, which employs user-consented social data to train AI models for creating AI avatars, and ChainML, which focuses on building collaborative AI agents for web3 environments.
The list also includes Pond, which is working on a large graph AI model for on-chain applications; and Holoworld, which combines AI with 3D entertainment in a social network.
The initiatives leverage Masa’s decentralized, user-consented data and open-source LLM network to expand its AI developer ecosystem.
Masa’s approach highlights a shift toward using decentralized data sources to address the challenges of data access and quality that often limit traditional AI development. The company asserts that this model can lead to more personalized and effective AI solutions.
To back these development efforts, Masa has rolled out a Decentralized AI Developer Grant, putting up $100,000 in MASA tokens to help developers in its network. The grants seek to encourage the creation of AI projects that leverage Masa’s technology stack.
The partnerships and grant program are part of Masa’s broader strategy to become a key player in the decentralized AI market. The company is setting up a space where developers can get their hands on unique datasets and team up to build AI solutions.
Masa’s network is growing fast, now boasting over 1.5 million users and 48,000 node operators, all supported by venture capital funding. The recent rollout of its network mainnet and token sale highlight a growing demand for diverse data and more open access to it. With many AI models becoming more similar because they’re trained on similar data, the real game-changer now is getting access to exclusive, high-quality, and verified personal data.
Source: Cryptocurrency - investing.com
