OpenAI Blog

Sora first impressions

Since we introduced Sora to the world last month, we’ve been working with artists to learn how Sora might aid in their creative process.

OpenAI Blog
Jul 14, 2022

DALL·E 2: Extending creativity

As part of our DALL·E 2 research preview, more than 3,000 artists from more than 118 countries have incorporated DALL·E into their creative workflows. The artists in our early access group have helped us discover new uses for DALL·E and have served as key voices as we’ve made decisions about DALL·E’s features.

OpenAI Blog
Sep 30, 2025

Sora 2 System Card

Sora 2 is our new state of the art video and audio generation model. Building on the foundation of Sora, this new model introduces capabilities that have been difficult for prior video models to achieve– such as more accurate physics, sharper realism, synchronized audio, enhanced steerability, and an expanded stylistic range.

OpenAI Blog
Dec 9, 2024

Sora System Card

Sora is OpenAI’s video generation model, designed to take text, image, and video inputs and generate a new video as an output. Sora builds on learnings from DALL-E and GPT models, and is designed to give people expanded tools for storytelling and creative expression.

OpenAI Blog
Sep 30, 2025

Sora 2 is here

Our latest video generation model is more physically accurate, realistic, and controllable than prior systems. It also features synchronized dialogue and sound effects.

arXiv AI
2d ago

Musical Agent Systems: MACAT and MACataRT

arXiv:2502. 00023v2 Announce Type: replace-cross Abstract: Our research explores the development and application of musical agents, human-in-the-loop generative AI systems designed to support music performance and improvisation within co-creative spaces.

By Keon Ju M. Lee, Philippe Pasquier
Hugging Face Trending Papers
Jul 9

ArtMine: Discovering and Formalizing Artistic Processes

Understanding how artworks are created requires reasoning about the iterative decisions, material operations, and contextual influences that shape artistic production. While recent generative AI systems can synthesize artworks with high fidelity, they primarily model distributions over finished artifacts rather than the creative processes underlying their creation.