The important moves in artificial intelligence.

OpenAI o3-mini

OpenAI o3-mini System Card

This report outlines the safety work carried out for the OpenAI o3-mini model, including safety evaluations, external red teaming, and Preparedness Framework evaluations.

Strengthening America’s AI leadership with the U.S. National Laboratories

OpenAI’s latest line of reasoning models will be used by nation’s leading scientists to drive scientific breakthroughs.

How to deploy and fine-tune DeepSeek models on AWS

Operator System Card

Drawing from OpenAI’s established safety frameworks, this document highlights our multi-layered approach, including model and product mitigations we’ve implemented to protect against prompt engineering and jailbreaks, protect privacy and security, as well as details our external red teaming efforts, safety evaluations, and ongoing work to further refine these safeguards.

SmolVLM Grows Smaller – Introducing the 256M & 500M Models!

Bertelsmann powers creativity and productivity with OpenAI

Bertelsmann, the global media, services, and education company headquartered in Germany, will integrate OpenAI’s technology across multiple brands around the world.

Announcing The Stargate Project

Announcing The Stargate Project

Stargate Infrastructure

OpenAI, and our strategic partners, are thrilled about our shared vision for the Infrastructure of AGI. We are energized by the challenges we face and are excited by the prospect of partnering with firms across the industrial base to deliver against our ambitious mission. Specifically, we want to connect with firms across the built data center infrastructure landscape, from power and land to construction to equipment, and everything in between.

Timm ❤️ Transformers: Use any timm model with transformers

Partnering with Axios expands OpenAI’s work with the news industry

Publishers representing hundreds of newsrooms and content brands are using OpenAI partnerships and grant programs to adopt AI tools and strengthen the news ecosystem, while ChatGPT users gain access to information from leading, reliable publications.

Train 400x faster Static Embedding Models with Sentence Transformers