Key Details About the New OpenAI Model

• Launch Timeline: Expected to be released in the coming months.
• Developer Feedback: OpenAI will host developer events in San Francisco, Europe, and Asia-Pacific to refine the model before its official release.
• Customization & Deployment: This model allows governments, enterprises, and developers to run and modify it independently.
• Comparison to Previous Models: Unlike GPT-3 and GPT-4, which were fully closed, this new model will be open-weight—though not fully open-source.

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AI Industry Competition Heats Up!

The AI arms race continues to escalate with major players making significant advancements:

• Alibaba launched an open-source AI model on March 26.
• Google introduced Gemini 2.5 on March 25.
• Meta‘s Llama model hit 1 billion downloads, as announced on March 19.

Meanwhile, OpenAI CEO Sam Altman has hinted at GPT-4.5 and GPT-5 launching soon, further intensifying the competition in the AI landscape.

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The project will be developed through the contributions of thousands of participants on the new Near AI Research hub. From today, November 10, participants can join the training of a smaller 500 million parameter model. The project will grow across seven models, with only the best contributors advancing to work on progressively more complex and larger models.

The model’s privacy and security will be ensured through encrypted Trusted Execution Environments (TEEs). Contributors will be rewarded, and constant updates will be encouraged as the technology progresses. Near Protocol co-founder Illia Polosukhin mentioned that the expensive training and computing costs will be funded through token sales, raising about $160 million.

Polosukhin explained that token holders would be repaid from the inferences made when the model is used. This creates a business model that can be reinvested into future models.

With contributions from Illia Polosukhin, one of the authors of the groundbreaking transformer research behind ChatGPT, and Alex Skidanov, who has OpenAI experience, the Near team is well-equipped for the task. However, Skidanov mentioned that training such a large model would require “tens of thousands of GPUs,” which is not ideal for a centralized system. A decentralized network of compute may be the solution, but it would require new technology that does not yet exist.

Near Protocol‘s ambitious open-source AI project could revolutionize both the crypto and AI industries if successful.

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