OpenAI Blog

Creating next-gen characters

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

The power of continuous learning

Lilian Weng works on Applied AI Research at OpenAI.

Point-E: A system for generating 3D point clouds from complex prompts

New and improved embedding model

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

Discovering the minutiae of backend systems

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

Introducing ChatGPT

We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for…

DALL·E API now available in public beta

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

Scaling laws for reward model overoptimization

DALL·E now available without waitlist

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

Introducing Whisper

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

DALL·E: Introducing outpainting

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

Our approach to alignment research

We are improving our AI systems’ ability to learn from human feedback and to assist humans at evaluating AI. Our goal…

New and improved content moderation tooling

We are introducing a new and improved content moderation tool. The Moderation endpoint improves upon our previous…

Efficient training of language models to fill in the middle

A hazard analysis framework for code synthesis large language models

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…

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…

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…

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 with powerful…

Learning to play Minecraft with Video PreTraining

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

Evolution through large models

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…

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 and…

Best practices for deploying language models

Cohere, OpenAI, and AI21 Labs have developed a preliminary set of best practices applicable to any organization…

Teaching models to express their uncertainty in words

Powering next generation applications with OpenAI Codex

Codex is now powering 70 different applications across a variety of use cases through the OpenAI API.

DALL·E 2 research preview update

Early users have created over 3 million images to date and helped us improve our safety processes. We’re excited to…

OpenAI leadership team update

We’re happy to announce several executive role changes that reflect our recent progress and will ensure continued…

Hierarchical text-conditional image generation with CLIP latents

Measuring Goodhart’s law

Goodhart’s law famously says: “When a measure becomes a target, it ceases to be a good measure.” Although originally…

New GPT-3 capabilities: Edit & insert

We’ve released new versions of GPT-3 and Codex which can edit or insert content into existing text, rather than just…

A research agenda for assessing the economic impacts of code generation models

Lessons learned on language model safety and misuse

We describe our latest thinking in the hope of helping other AI developers address safety and misuse of deployed models.

Economic impacts research at OpenAI

Call for expressions of interest to study the economic impacts of large language models.

Solving (some) formal math olympiad problems

We built a neural theorem prover for Lean that learned to solve a variety of challenging high-school olympiad problems,…

Aligning language models to follow instructions

We’ve trained language models that are much better at following user intentions than GPT-3 while also making them more…