0G Private Computer Launches GLM-5.2 for Private, Verifiable AI Coding

In this episode of Global Economic Press, Alex Brady discusses the groundbreaking launch of GLM-5.2 by Zero Gravity Labs Incorporated, marking a significant advancement in private and verifiable artificial intelligence coding. The episode explores how this innovation is poised to transform the landscape of decentralized artificial intelligence. Zero Gravity Labs Incorporated has announced that GLM-5.2, the newly open-sourced large language model from Z.ai, is now live on 0G Private Computer. This allows developers to run one of the strongest open-weight coding models available on fully private, verifiable infrastructure, ensuring that prompts, code, or data are not exposed to a centralized provider. GLM-5.2, released by Z.ai under the Massachusetts Institute of Technology license, is a Mixture-of-Experts model with roughly 744 billion total parameters and a one million-token context window. On 0G Private Computer, every GLM-5.2 inference runs inside 0G's privacy stack, keeping prompts and outputs encrypted and computation verifiable. This provides developers and enterprises with frontier open-model performance, along with privacy, transparency, verifiability, and safety. Key capabilities include private inference, verifiable compute, and onchain settlement with pay-per-use compute credits. GLM-5.2 is available today at pc.0g.ai/models/glm-5.2. Learn more about Zero Gravity Labs Incorporated at 0g.ai.