ChatGPT users can now turn off chat history, allowing you to choose which conversations can be used to train our models.

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.

Ensuring that AI systems are built, deployed, and used safely is critical to our mission.

An update on our findings, the actions we’ve taken, and technical details of the bug.

We’ve implemented initial support for plugins in ChatGPT. Plugins are tools designed specifically for language models with safety as a core principle, and help ChatGPT access up-to-date information, run computations, or use third-party services.

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.

Be My Eyes uses GPT-4 to transform visual accessibility.

How Iceland is using GPT-4 to preserve its language.

Khan Academy explores the potential for GPT-4 in a limited pilot program.

Stripe leverages GPT-4 to streamline user experience and combat fraud.

GPT-4 deepens the conversation on Duolingo.

Our mission is to ensure that artificial general intelligence—AI systems that are generally smarter than humans—benefits all of humanity.

We’re clarifying how ChatGPT’s behavior is shaped and our plans for improving that behavior, allowing more user customization, and getting more public input into our decision-making in these areas.

We’re launching a pilot subscription plan for ChatGPT, a conversational AI that can chat with you, answer follow-up questions, and challenge incorrect assumptions.

We’re launching a classifier trained to distinguish between AI-written and human-written text.

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 introduces a framework for analyzing potential mitigations. Read the full report here.

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, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.

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.