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OpenAI is working on a neural network for music creation

26 October 2025 17:41

According to The Information, OpenAI is actively working on its own neural network for music creation , which will compete with projects like Suno and Udio.

The publication’s sources report that the new product is expected to have several modes . First, it will simply generate a track based on a text request. Second, the model will be able to create music for a user-recorded voice track or video. This significantly expands the range of AI applications.

OpenAI is very cautious about copyright issues, especially after the launch of Sora 2, which initially generated copies of many famous characters, both real and fictional, from Stephen Hawking to Pikachu. To create the musical model, the company is collaborating with the Juilliard School, one of the most prestigious conservatories in the United States.

The school’s students help annotate the musical material: scores, structure, and harmonies . The idea is to train the model not simply from downloaded tracks, but using carefully annotated musical logic, which reduces legal risks and improves musical consistency.

It’s not yet known whether the new product will be released as a standalone app or integrated into one of OpenAI’s products. A logical candidate for integration would be Sora 2, which could overlay AI soundtracks onto videos created with it. The launch date for the new model has not been disclosed.

While OpenAI has launched generative music models in the past, these predate ChatGPT’s launch; more recently, the company has developed audio models focused on speech synthesis and text-to-speech.

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The Red Hot Cyber Editorial Team provides daily updates on bugs, data breaches, and global threats. Every piece of content is validated by our community of experts, including Pietro Melillo, Massimiliano Brolli, Sandro Sana, Olivia Terragni, and Stefano Gazzella. Through synergy with our industry-leading partners—such as Accenture, CrowdStrike, Trend Micro, and Fortinet—we transform technical complexity into collective awareness. We ensure information accuracy by analyzing primary sources and maintaining a rigorous technical peer-review process.