What Happened: In a post shared on X, formerly Twitter, Altman revealed that the model would be the first of its kind since GPT-2 and would feature publicly accessible trained parameters or weights, allowing developers to fine-tune the model for specific tasks.

“We've been thinking about this for a long time, but other priorities took precedence,” Altman said, adding, “Now it feels important to do.”

Altman also said that the company plans to get feedback from developers through a series of global events.

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"We still have some decisions to make, so we are hosting developer events to gather feedback and later play with early prototypes," he said. The first event will take place in San Francisco, followed by sessions in Europe and Asia-Pacific regions.

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OpenAI provides access to its AI via a chatbot and cloud-based services. In contrast, models like R1, Llama, and other open-weight alternatives can be freely downloaded and customized.

A model's weights represent the internal values of a neural network, determined during training. Open-weight models offer a cost-effective solution and can be adapted for specialized applications, such as processing sensitive or confidential data, reported Wired.

After DeepSeek launched its model in January, Altman remarked that OpenAI was “on the wrong side of history” when it came to open models, hinting at a possible change in stance.

OpenAI might aim to demonstrate its ability to train the new model efficiently, especially since DeepSeek's model was reportedly developed at a significantly lower cost than most large AI models.

"This is amazing news," Clement Delangue, co-founder and CEO of Hugging Face, a company known for hosting open AI models, told the publication. "With DeepSeek, everyone's realizing the power of open weights."

This move comes after the company closed a $6.6 billion funding round in October.

Photo by jamesonwu1972 on Shutterstock

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Disclaimer: This content was partially produced with the help of Benzinga Neuro and was reviewed and published by Benzinga editors.