Artificial intelligence (AI) is increasingly pervasive in a variety of sectors, such as finance and healthcare, where transparency and trust are important. Current centralized AI systems face criticism for lack of data traceability and model opacity. Michael Heinrich, CEO of 0G Labs, is trying to solve these problems by building a decentralized AI infrastructure. He is interested in combining data about on-chain training with cryptographic evidence to increase transparency and avoid misinformation.
0G envisions a future where decentralized AI powers abundance, transparency, and equity.
By locking data on-chain and democratizing computing, 0G’s DeAIOS could open the door to a post-scarcity society where AI serves everyone. @michaelh_0g shows you how 👇 https://t.co/B1HBDHG0AW
— 0G Labs (Home of Infinite AI) (@0G_labs) November 3, 2025
Heinrich emphasizes that the model’s accuracy depends on high-quality and traceable datasets. Without reliable data sources, AI systems are prone to hallucinations and biases. The proposed distributed model includes an immutable data trail, providing a verifiable record of data sources and updates. This system allows AI applications to maintain consistency and reliability across constantly evolving datasets.
0G Labs presents a scalable and affordable computing marketplace
Heinrich’s 0G Labs is creating what it calls the first decentralized AI operating system (DeAIOS). Provides scalable on-chain data storage for large AI datasets and enables verification of provenance. The system also has a permissionless computing marketplace aimed at eliminating centralized cloud services and minimizing development spending.
Otherwise, 0G Labs has significantly improved the efficiency of training large-scale AI models through the Dilocox framework. Using this method, you can train a 100 billion parameter language model using a distributed cluster. The company claims this method increases training efficiency by more than 350 times compared to traditional methods.
Reduce abuse with reward-based design and open access
To overcome problems with AI technologies such as deepfakes and voice cloning, 0G Labs focuses on issues of human consciousness and system architecture. Public education and global standards are key factors in preventing harmful applications. However, the decentralized system within 0G Labs also provides punishment for malicious behavior through the financial slash system.
Heinrich supports open source AI models because they provide open source control mechanisms and minimize the risks associated with black box systems. Open training records and immutable logs allow the community to see and track how models are created and used. 0G Labs aligns incentives and fosters collaborative development processes, reducing the power of monopoly and enabling safer AI innovation.
