OpenAI Blog
Mar 31, 2016
Team++
We've had some fantastic people join over the past few months (and we're still hiring). Welcome, everyone!
Team update
We’ve hired more great people to help us achieve our goals. Welcome, everyone!
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OpenAI Blog
May 25, 2016
Team update
We’d like to welcome the latest set of team members to OpenAI (and we’re still hiring!
OpenAI Blog
May 5, 2022
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 Blog
Apr 26, 2016
Welcome, Pieter and Shivon!
We have two more team updates.
OpenAI Blog
Jan 30, 2017
Team update
The OpenAI team is now 45 people. Together, we’re pushing the frontier of AI capabilities—whether by validating novel ideas, creating new software systems, or deploying machine learning on robots.
OpenAI Blog
Mar 24, 2025
Leadership updates
OpenAI has grown a lot. We remain focused on the same core—pursuing frontier AI research that accelerates human progress–but we now also deliver products used by hundreds of millions of people.
OpenAI Blog
Aug 20, 2024
Putting AI to work at Upwork
Upwork puts AI to work, uniting team members, operations and product development
OpenAI Blog
Sep 25, 2025
More ways to work with your team and tools in ChatGPT
New shared projects, smarter connectors, and compliance and security updates help teams get more done.
OpenAI Blog
Dec 9, 2024
Put AI to work for your product team
Put AI to work for your product team
arXiv AI
Sep 11
ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
The paper introduces ROTATE, a regret-driven open‑ended training framework that jointly improves an Ad Hoc Teamwork (AHT) agent and an adversarial teammate generator. Unlike traditional two‑stage pipelines, ROTATE alternates between enhancing the agent and generating teammates that specifically probe its collaboration weaknesses. Experiments on Overcooked and Level‑Based Foraging show that ROTATE outperforms existing baselines on unseen teammates, setting a new benchmark for robust, generalizable teamwork.
arXiv AI
Aug 17
AI Evaluation Should Work With Humans
arXiv:2608. 13577v1 Announce Type: new Abstract: This position paper argues that the dominant paradigm of AI evaluation (which focuses on superhuman autonomous performance and so implicitly targets the goal of replacing humans) is guiding AI development in the wrong direction.
OpenAI Blog
Sep 29, 2025
Empowering teams to unlock insights faster at OpenAI
OpenAI’s research assistant helps teams analyze millions of support tickets, surface insights faster, and scale curiosity across the company.