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.

JetBrains uses OpenAI’s API to build its fastest-growing product ever.

Superhuman introduces a new era of email with OpenAI.

Holiday Extras rolls out ChatGPT Enterprise across every team, boosting productivity by 500 hours weekly.

Salesforce integrates OpenAI’s enterprise-ready LLMs to transform customer applications.

Healthify collaborates with OpenAI to improve millions of lives with sustainable weight loss.

We have partnered with international news organizations Le Monde and Prisa Media to bring French and Spanish news content to ChatGPT.

New board members named and enhancements to the governance structure introduced

Dr. Sue Desmond-Hellmann, Nicole Seligman, Fidji Simo join; Sam Altman rejoins board

Match Group uses ChatGPT Enterprise to spark creativity and impact.

Lifespan uses GPT-4 to radically improve health literacy and patient outcomes.

Paradigm uses OpenAI’s API to improve patient access to clinical trials.

We are dedicated to the OpenAI mission and have pursued it every step of the way.

We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Our largest model, Sora, is capable of generating a minute of high fidelity video. Our results suggest that scaling video generation models is a promising path towards building general purpose simulators of the physical world.

We terminated accounts associated with state-affiliated threat actors. Our findings show our models offer only limited, incremental capabilities for malicious cybersecurity tasks.

We’re testing the ability for ChatGPT to remember things you discuss to make future chats more helpful. You’re in control of ChatGPT’s memory.

The National Institute of Standards and Technology (NIST) request for information related to its assignments under sections 4.1, 4.5, and 11 of the Executive Order Concerning Artificial Intelligence

We’re developing a blueprint for evaluating the risk that a large language model (LLM) could aid someone in creating a biological threat. In an evaluation involving both biology experts and students, we found that GPT-4 provides at most a mild uplift in biological threat creation accuracy. While this uplift is not large enough to be conclusive, our finding is a starting point for continued research and community deliberation.

We are launching a new generation of embedding models, new GPT-4 Turbo and moderation models, new API usage management tools, and soon, lower pricing on GPT-3.5 Turbo.

We funded 10 teams from around the world to design ideas and tools to collectively govern AI. We summarize the innovations, outline our learnings, and call for researchers and engineers to join us as we continue this work.