📰 OpenAI News

OpenAI researchers collaborated with Georgetown University’s Center for Security and Emerging Technology and the Stanford Internet Observatory to investigate ho

Using GPT-3 to deliver fast, nuanced insights from customer feedback.

Fine-tuning GPT-3 to power and scale done-for-you video creation.

Using GPT-3 to create the next generation of AI-powered characters.

Lilian Weng works on Applied AI Research at OpenAI.

We are excited to announce a new embedding model which is significantly more capable, cost effective, and simpler to use.

Christian Gibson is an engineer on the Supercomputing team at OpenAI.

We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, ad

Starting today, developers can begin building apps with the DALL·E API.

New users can start creating straight away. Lessons learned from deployment and improvements to our safety systems make wider availability possible.

We’ve trained and are open-sourcing a neural net called Whisper that approaches human level robustness and accuracy on English speech recognition.

Extend creativity and tell a bigger story with DALL·E images of any size.

We are improving our AI systems’ ability to learn from human feedback and to assist humans at evaluating AI. Our goal is to build a sufficiently aligned AI syst

We are introducing a new and improved content moderation tool. The Moderation endpoint improves upon our previous content filter, and is available for free toda

We’ll invite 1 million people from our waitlist over the coming weeks. Users can create with DALL·E using free credits that refill every month, and buy addition

Today, we are implementing a new technique so that DALL·E generates images of people that more accurately reflect the diversity of the world’s population.

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 artis

In order to share the magic of DALL·E 2 with a broad audience, we needed to reduce the risks associated with powerful image generation models. To this end, we p

We trained a neural network to play Minecraft by Video PreTraining (VPT) on a massive unlabeled video dataset of human Minecraft play, while using only a small