A new $5+ million partnership aims to explore ways the development of artificial intelligence (AI) can support a thriving, innovative local news field, and ensure local news organizations shape the future of this emerging technology.

An overview of the minetester and preliminary work

Viable uses GPT-4 to analyze qualitative data at a revolutionary scale with unparalleled accuracy.

We are sharing what we learned from our conversations across 22 countries, and how we will be incorporating those insights moving forward.

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).

The following are the Questions for the Record following Sam Altman's testimony before the U.S. Senate Committee on the Judiciary (Subcommittee on Privacy, Technology, & the Law).

We’re announcing updates including more steerable API models, function calling capabilities, longer context, and lower prices.

I had a lot of fun preparing the talk: “Leadership needs us to do generative AI. What do we do?” for Fully Connected. The idea for the talk came from many conversations I’ve had recently with friends who need to figure out their generative AI strategy, but aren’t sure what exactly to do. This talk is a simple framework to explore what to do with generative AI. Many ideas are still being fleshed out. I hope to convert this into a proper post when I have more time. In the meantime, I’d love to hear from your experience through this process. I couldn’t figure out how to make the slides centered on the page. You might want to download the slides. Thanks everyone who responded to my post and shared your thoughts on what I should include in the talk. Thanks Kyle Gallatin, Goku Mohandas, Han-chung Lee, and Jamie de Guerre for thoughtful feedback on the talk.

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

We've trained a model to achieve a new state-of-the-art in mathematical problem solving by rewarding each correct step of reasoning (“process supervision”) instead of simply rewarding the correct final answer (“outcome supervision”). In addition to boosting performance relative to outcome supervision, process supervision also has an important alignment benefit: it directly trains the model to produce a chain-of-thought that is endorsed by humans.

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.

Audit shows that safetensors is safe and ready to become the default Hugging Face, in close collaboration with EleutherAI and Stability AI, has ordered an external security audit of the safetensors library, the results of which allow all three organizations to move toward making the library the default format for saved models. The full results of the security audit, performed by Trail of Bits, can be found here: Report. The following blog post explains the origins of the library, why these audit results are important, and the next steps.

Now is a good time to start thinking about the governance of superintelligence—future AI systems dramatically more capable than even AGI.

The ChatGPT app syncs your conversations, supports voice input, and brings our latest model improvements to your fingertips.

We use GPT-4 to automatically write explanations for the behavior of neurons in large language models and to score those explanations. We release a dataset of these (imperfect) explanations and scores for every neuron in GPT-2.

A breif overview of EAIs approach to alignment

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