OpenAI News
OpenAI leadership team update
We’re happy to announce several executive role changes that reflect our recent progress and will ensure continued momentum toward our next major milestones.
OpenAI News
Measuring Goodhart’s law
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...
OpenAI News
Hierarchical text-conditional image generation with CLIP latents
Contrastive models like CLIP have been shown to learn robust representations of images that capture both semantics and style. To leverage these representations for image generation, we propose a two-stage model: a prior that generates a CLIP image embedding...
OpenAI News
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 completing existing text.
OpenAI News
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.
OpenAI News
Economic impacts research at OpenAI
Call for expressions of interest to study the economic impacts of large language models.
OpenAI News
A research agenda for assessing the economic impacts of code generation models
OpenAI is developing a research program to assess the economic impacts of code generation models and is inviting collaboration with external researchers. Rapid advances in the capabilities of large language models (LLMs) trained on code have made it...
OpenAI News
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, including problems from the AMC12 and AIME competitions, as well as two problems adapted from the IMO.
OpenAI News
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 truthful and less toxic, using techniques developed through our alignment research. These InstructGPT models, which are trained with...
OpenAI News
Introducing text and code embeddings
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.
OpenAI News
Text and code embeddings by contrastive pre-training
Text embeddings are useful features in many applications such as semantic search and computing text similarity. Previous work typically trains models customized for different use cases, varying in dataset choice, training objective and model architecture....
OpenAI News
WebGPT: Improving the factual accuracy of language models through web browsing
We’ve fine-tuned GPT-3 to more accurately answer open-ended questions using a text-based web browser.