OpenAI to Release New Open Language Model

OpenAI to Release New Open Language Model

Image: TechCrunch
OpenAI plans to release its first open language model since GPT-2 in the coming months, inviting feedback from developers and researchers.

OpenAI plans to release its first open language model since GPT-2 in the coming months, announced on their website. The company is seeking input from developers, researchers, and the broader community to enhance the model's utility. OpenAI has published a feedback form on its website, inviting suggestions on what features users would like to see in the new model.

The upcoming model will feature reasoning capabilities similar to OpenAI's o3-mini, and the company intends to host developer events to gather feedback and demonstrate early prototypes. The first event is scheduled to take place in San Francisco, with subsequent sessions planned for Europe and the Asia-Pacific regions.

OpenAI CEO Sam Altman has acknowledged the need for a revised open-source strategy, noting that the company will evaluate the new model according to its preparedness framework before release. This move comes as OpenAI faces competition from other AI labs like DeepSeek, which have successfully adopted open approaches to model deployment.

We hope you enjoyed this article.

Consider subscribing to one of several newsletters we publish. For example, in the Daily AI Brief you can read the most up to date AI news round-up 6 days per week.

Also, consider following us on social media:

AI Brief
AI Brief (X)

Subscribe to Daily AI Brief

Daily report covering major AI developments and industry news, with both top stories and complete market updates

AI Token Webinar

Market report

AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation

ModelOp

The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.

Read more

You May Also Like