The Archive

We support journalism, partner with news organizations, and believe The New York Times lawsuit is without merit.

Summer Health reimagines pediatric doctor’s visits with OpenAI.

Mira Murati as CTO, Greg Brockman returns as President. Read messages from CEO Sam Altman and board chair Bret Taylor.

Working together to create open-source and private datasets for AI training.

An Update for the UK AI Safety Summit

We’re announcing an open call for the OpenAI Red Teaming Network and invite domain experts interested in improving the safety of OpenAI’s models to join our efforts.

We’re growing our presence in Europe with an office in Dublin, Ireland.

Developer registration for in-person attendance will open in the coming weeks and developers everywhere will be able to livestream the keynote.

OpenAI’s customers can leverage Scale’s AI expertise to customize our most advanced models.

The entire team has joined OpenAI.

OpenAI and other leading labs reinforce AI safety, security and trustworthiness through voluntary commitments.

We are excited to announce OpenAI’s first international expansion with a new office in London, United Kingdom.

The following is the written testimony of Sam Altman, Chief Executive Officer of OpenAI, before the U.S. Senate Committee on the Judiciary (Subcommittee on Privacy, Technology, & the Law).

Our goal is to facilitate the development of AI-powered cybersecurity capabilities for defenders through grants and other support.

Our nonprofit organization, OpenAI, Inc., is launching a program to award ten $100,000 grants to fund experiments in setting up a democratic process for deciding what rules AI systems should follow, within the bounds defined by the law.

This initiative is essential to our commitment to develop safe and advanced AI. As we create technology and services that are secure, reliable, and trustworthy, we need your help.

We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks.

We’re happy to announce that OpenAI and Microsoft are extending our partnership.

OpenAI researchers collaborated with Georgetown University’s Center for Security and Emerging Technology and the Stanford Internet Observatory to investigate how large language models might be misused for disinformation purposes. The collaboration included an October 2021 workshop bringing together 30 disinformation researchers, machine learning experts, and policy analysts, and culminated in a co-authored report building on more than a year of research. This report outlines the threats that language models pose to the information environment if used to augment disinformation campaigns and in...

Lilian Weng works on Applied AI Research at OpenAI.

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

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

Cohere, OpenAI, and AI21 Labs have developed a preliminary set of best practices applicable to any organization developing or deploying large language models.

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

We’re happy to announce several executive role changes that reflect our recent progress and will ensure continued momentum toward our next major milestones.

Goodhart’s law famously says: “When a measure becomes a target, it ceases to be a good measure.” Although originally from economics, it’s something we have to grapple with at OpenAI when figuring out how to optimize objectives that are difficult or costly to measure.

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

We are introducing embeddings, a new endpoint in the OpenAI API that makes it easy to perform natural language and code tasks like semantic search, clustering, topic modeling, and classification.