OpenAI o1 System Card

Sandhini Agarwal is a researcher at OpenAI. Her OpenReview profile lists her as a researcher at OpenAI (2020–present) and an undergraduate student at Stanford University (2015–2019).

Engineer and product leader who worked on OpenAI's Applied AI team and now advises startups on AI products. He writes publicly about agents, retrieval, and evaluation on his personal site.

Engineer at OpenAI working on inference infrastructure, product engineering, and prototyping for systems including GPT-4 and DALL-E 2.

Head of Safety Systems at OpenAI.

Alec Radford is a researcher and a co-author of the GPT-4 Technical Report. His GitHub profile links to his personal website at newmu.github.io.

Assistant professor at UC Berkeley whose public profiles focus on speech interfaces, speech synthesis, and language grounding.

Joshua Batson leads a team at Anthropic focused on mechanistic interpretability. MIT's SDSCon speaker page also notes earlier work on viral genomics and computational microscopy at the Chan Zuckerberg Biohub and an MIT Ph.D. in pure mathematics.

Research scientist at OpenAI whose public profiles describe work on generative AI and reinforcement learning, after PhD study at the University of Cambridge.

Machine learning researcher and Columbia PhD student working on NLP, diffusion models, reinforcement learning, and applied probability; contributed to OpenAI reasoning-model system-card work.

Founder of REWORKd and an applied AI engineer previously at OpenAI, Scale AI, and Stanford research, with work spanning autonomous agents and LLM applications.

Research scientist at OpenAI focused on large language models, post-training, reasoning, and evaluation; previously completed a PhD at NYU.

Machine learning researcher and writer focused on mechanistic interpretability, music generation, and image or video diffusion; contributed to OpenAI's o1 system-card work.

AI researcher and engineering leader at OpenAI working on multimedia, generation, reasoning, and representation learning. His public work focuses on maximizing the benefits of AI while minimizing harms.

Member of technical staff at OpenAI working on reasoning, reinforcement learning, and post-training.

Member of technical staff at OpenAI focused on code generation and synthetic data for post-training, with interests in coding, reasoning, human data, reinforcement learning, and self-improving systems.

Jeff Tworek is a researcher at OpenAI working on GPT-4.1. Before joining OpenAI in 2022, his public profile notes work on image generation, robotics, reinforcement learning, and POMDPs.

Postdoctoral researcher at Stanford Graduate School of Business studying how humans and AI learn from experience and language, and also working on AI training at OpenAI.

Researcher working on reasoning-focused language models, including OpenAI o1.

Canonical link

Sandhini Agarwal

Shyamal Anadkat

Chris Hallacy

Johannes Heidecke

Alec Radford

J. J. Anumanchipalli

Josh Batson

Raphael Ho

Aditya Krishna

Yash Patil

Jason Phang

Roman Ring

Bobak Shahriari

Jacob Walsman

Dianne Penn

Jeffrey Tworek

Jonathan Welsh

Nils Olsson