A decentralized approach to artificial intelligence powered by blockchain
IoTeX has announced the launch of its Real-World AI Foundry, a decentralized platform designed to compete with centralized AI models. The initiative rewards users for contributing live data, enabling intelligent systems to be built on blockchain infrastructure instead of relying on closed, corporate-controlled networks.
Traditional AI development is dominated by closed ecosystems managed by large corporations, where data is locked away and user participation is limited. IoTeX’s AI Foundry aims to flip this model by creating a system where data contributors, developers, and users are directly rewarded for fueling AI growth.
The platform integrates with IoTeX’s blockchain infrastructure, ensuring transparency, data ownership, and secure participation. This structure addresses one of the biggest criticisms of centralized AI — the lack of accountability and equitable value distribution.
Incentives for data contribution
The Real-World AI Foundry is designed to incentivize real-time data contributions from devices, sensors, and individual users. Contributors earn rewards for sharing data that can be used to train and power decentralized AI applications, ranging from smart cities and healthcare solutions to autonomous IoT systems.
This model not only decentralizes the development process but also expands opportunities for AI applications in real-world environments, where fresh and reliable data is critical.
Building trust in AI systems
By aligning blockchain with AI, IoTeX is addressing long-standing concerns around trust, privacy, and transparency. Data contributors retain ownership while developers can access a global pool of high-quality inputs to build scalable AI models. This stands in stark contrast to “black-box” corporate systems, where users often have no visibility into how their data is used.
The IoTeX Real-World AI Foundry marks a major step toward decentralizing artificial intelligence. By rewarding live data contributions and leveraging blockchain transparency, the project challenges the dominance of centralized AI models and opens the door to a more inclusive, user-driven future for intelligent systems.
Disclaimer
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