OpenAI Pre-trains ‘Bel’ Model with 10T Parameters to Achieve AGI

OpenAI has reportedly reached a significant milestone in the development of its next-generation artificial intelligence architecture. According to insider reports surfaced on August 26, 2026, the organization has completed the pre-training phase for a new model codenamed Bel. This development is positioned as a direct successor to the previously discussed "Doug" model and represents a massive leap in computational scale, with parameters allegedly exceeding 10 trillion. The project is widely viewed as OpenAI’s primary vehicle for reaching the threshold of Artificial General Intelligence (AGI).

Technological Leap Beyond GPT-6

The Bel model is designed to serve as a foundational pillar for the ecosystem following the GPT-6 era. The scale of this architecture is unprecedented in the industry, dwarfing current large language models (LLMs) in terms of raw data processing capacity. By crossing the 10-trillion parameter mark, OpenAI aims to move beyond narrow AI—which is limited to specific domains—toward a system capable of cross-domain generalization.

• Model Successor: Follows the internal "Doug" model architecture.
• Parameter Count: Over 10 trillion, significantly larger than current public versions of GPT-4 or GPT-5.
• Primary Objective: Achieving AGI, an intelligent system capable of performing any human intellectual task.

Impact on Blockchain and AGI Development

The pursuit of AGI has profound implications for the Decentralized AI (DeAI) sector and the broader cryptocurrency market. As models like Bel require immense computational power, decentralized physical infrastructure networks (DePIN) and AI-focused blockchains such as Near Protocol, Bittensor (TAO), and Render (RNDR) are expected to see increased integration. These networks often facilitate the distributed computing resources necessary to train and run high-parameter models. AGI is defined by its ability to adapt to unknown environments and possess self-learning capabilities similar to human cognition.

Unlike current narrow AI, which can only handle specific tasks, AGI possesses cross-domain generalization capabilities, reasoning abilities, and self-learning capabilities.

The completion of the pre-training phase for Bel signals a shift in the AI landscape where the boundary between human and machine intelligence becomes increasingly blurred. As OpenAI moves toward the testing and deployment stages, the global tech community will likely focus on the ethical and safety frameworks required to manage a 10-trillion parameter system. The successful implementation of Bel could redefine the utility of AI in smart contract auditing, automated trading strategies, and the governance of decentralized autonomous organizations (DAOs).