Christian Gibson is an engineer on the Supercomputing team at OpenAI.
OpenAI and Dell partner to bring Codex to hybrid and on-premise environments, helping enterprises deploy AI coding agents securely across data and workflows.
OpenAI CFO Sarah Friar discusses how progress in chips, compute, models, and products work together to provide more useful intelligence at larger scale and lower cost. She explains the compounding effects of these advances across the entire technology stack. The article highlights how each component—hardware, computational resources, model development, and product integration—contributes to overall efficiency and capability.
Our first class of OpenAI Scholars is underway, and you can now follow along as this group of experienced software developers becomes machine learning practitioners.
How OpenAI’s creative team uses Codex to build custom creative tools, accelerate ideation, and prototype faster with context-aware AI.
OpenAI is named a leader in the 2026 Gartner Magic Quadrant for Enterprise AI Coding Agents, with Codex recognized for innovation and enterprise-scale deployment.
OpenAI breaks ground on a 1GW data center project in Michigan as part of Stargate, building AI infrastructure to expand access, create jobs, and support communities.
OpenAI reflects on ten years of progress, from early research breakthroughs to widely used AI systems that reshaped what’s possible. We share lessons from the past decade and why we remain optimistic about building AGI that benefits all of humanity.
OpenAI introduces Aardvark, an AI-powered security researcher that autonomously finds, validates, and helps fix software vulnerabilities at scale. The system is in private beta—sign up to join early testing.
At OpenAI, we rely on our own technology to help streamline work, scale expertise, and drive outcomes. In our new series, OpenAI on OpenAI, we share lessons to help other organizations do the same.
The study evaluates OpenAI’s o1‑preview large language model on a wide range of complex reasoning tasks across domains such as computer science, mathematics, natural sciences, medicine, linguistics, and social sciences. It reports high success rates, including 83.3% on competitive programming, 100% on high‑school math reasoning, and superior performance in radiology reporting, chip design, anthropology, geology, quantitative investing, and social media analysis. While the model excels at intricate reasoning and knowledge integration, it still shows occasional errors on simpler problems and struggles with some highly specialized concepts.
Our first cohort of OpenAI Fellows has concluded, with each Fellow going from a machine learning beginner to core OpenAI contributor in the course of a 6-month apprenticeship.
OpenAI introduces GPT‑6 Astra, its most capable model for business. The new model boasts advanced reasoning, computer use, and improved writing and design judgment. It is positioned as the next generation of intelligence for work.