California: OpenAI announced plans to release an upcoming “open” artificial intelligence language model that will become available during the coming months. The organization has evolved because its existing GPT-2 model remains its most recent open release. On Monday, 31 March 2025, the organization launched an online feedback platform for obtaining insights from the broader AI community.
OpenAI directly reaches out to developers, researchers, and the broader community through a specific feedback form. The feedback platform from OpenAI consists of two main questions that ask the community about their preferred characteristics in an open-weight model and their previous experience with available open models. The organization expressed a keen commitment to working with diverse stakeholders to create the following model, which efficiently serves all involved stakeholders.
OpenAI will organize developer conferences that combine feedback collection with model prototype demonstrations after users complete the online survey form. As part of its worldwide mission to collect various perspectives, OpenAI will start hosting face-to-face meetings about this model development in San Francisco before moving on to events in European and Asia-Pacific territories.
The company made this strategic move towards openness because competitors successfully adopted open-source methods, intensifying market pressure. DeepSeek, which is based on Chinese AI research and meta technologies, has quickly gained strength through its public model releases. Meta’s Llama family of AI models successfully reached over one billion downloads in early March 2025 because users want accessible yet powerful AI tools. The fast-growing user base of DeepSeek, together with its international success, has caught the interest of investors worldwide.
Altman stressed that additional safety evaluations should be conducted because open models can be modified after release, according to his statement. He displayed enthusiasm about developer accomplishments. It is exciting to see how people, especially large companies and governments, adapt to this new resource of running models independently.
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