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DALL·E: Introducing Outpainting

Extend creativity and tell a bigger story with DALL-E images of any size Original outpainting by Emma Catnip Today we’re…

3 years ago

Our approach to alignment research

Our approach to aligning AGI is empirical and iterative. We are improving our AI systems’ ability to learn from human…

3 years ago

New-and-Improved Content Moderation Tooling

We are introducing a new-and-improved content moderation tool: The Moderation endpoint improves upon our previous content filter, and is available…

3 years ago

DALL·E Now Available in Beta

We’ll invite 1 million people from our waitlist over the coming weeks. Users can create with DALL·E using free credits…

3 years ago

Reducing Bias and Improving Safety in DALL·E 2

Today, we are implementing a new technique so that DALL·E generates images of people that more accurately reflect the diversity…

3 years ago

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…

3 years ago

DALL·E 2 Pre-Training Mitigations

In order to share the magic of DALL·E 2 with a broad audience, we needed to reduce the risks associated…

3 years ago

Learning to Play Minecraft with Video PreTraining (VPT)

We trained a neural network to play Minecraft by Video PreTraining (VPT) on a massive unlabeled video dataset of human…

3 years ago

AI-Written Critiques Help Humans Notice Flaws

We trained "critique-writing" models to describe flaws in summaries. Human evaluators find flaws in summaries much more often when shown…

3 years ago

Techniques for Training Large Neural Networks

Large neural networks are at the core of many recent advances in AI, but training them is a difficult engineering…

3 years ago