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Near plans to build world’s largest 1.4T parameter open-source AI model

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NEAR Protocol, a blockchain project focused on scalability and developer-friendly tools, has unveiled plans to create the world’s largest open-source AI model. The proposed model, set to have 1.4 trillion parameters, aims to democratize access to cutting-edge artificial intelligence technology by making it publicly available. NEAR’s initiative is positioning itself as a game-changer in the intersection of blockchain and AI, enabling decentralized and transparent development of machine learning models. This ambitious project seeks to challenge the dominance of private tech giants in the AI space by promoting open-source collaboration.

The model will be powered by NEAR’s blockchain infrastructure, which is designed to support high-performance applications and large-scale data processing. By leveraging the blockchain, NEAR intends to ensure that the AI model remains open, auditable, and free from centralized control. The project’s goals align with the growing demand for decentralized AI solutions that can offer greater transparency, security, and inclusivity compared to the proprietary systems used by major corporations. The launch of the AI model is expected to have far-reaching implications for industries ranging from finance to healthcare, where AI is increasingly playing a key role in decision-making and automation.

The 1.4 trillion parameters of the new model will surpass the size of many of the leading AI systems currently in operation, including OpenAI’s GPT-4, which is widely regarded as one of the most advanced AI models available. NEAR’s ambitious scale aims to provide developers and researchers with a powerful tool for creating more sophisticated AI applications. However, the project will face significant technical challenges, including the need for vast computational resources and data storage capabilities, as well as the complexities involved in training and fine-tuning such a massive model.

In a statement, NEAR emphasized the importance of community-driven development and open access, framing the project as a way to empower global developers and researchers without the constraints imposed by corporate interests. The project has already garnered interest from AI researchers and blockchain enthusiasts alike, with many seeing it as a potential turning point for both industries. As the AI and blockchain sectors continue to evolve, NEAR’s foray into this space could set a new standard for the intersection of decentralized technologies and artificial intelligence.

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