How OpenAI Engineers use Codex to Tackle Big Projects with Rigor

This Forum was a glimpse into how engineering is changing in real time. Chris, Romain, and Friel didn’t just talk about coding with AI—they showed what it looks like when AI acts as a true teammate, helping engineers plan, build, and debug while people stay firmly in charge of the results. They demonstrated Codex running a long, complex build that not only produced code but also managed sub-agents, tested ideas, and documented its work like a seasoned collaborator.

Nearly every OpenAI engineer uses Codex, leading to better reviews, fewer bugs, and faster progress on meaningful projects. But it’s not just for experts—non-technical teams are using it too, asking questions about code or making small changes on their own.

These tools aren’t replacing creativity or judgment—they’re freeing people up to focus on what really matters. Codex isn’t just “AI writing code”; it’s a way for teams to work smarter, move faster, and actually enjoy the process again.

Event Replay: Vibe Engineering with OpenAI’s Codex

Inside the Spurs’ AI Playbook: From Fan Engagement to Community Impact

The session, hosted by Natalie Cone of the OpenAI Forum, featured leaders from the San Antonio Spurs—Jordan Kolosey (VP of Business Strategy, Innovation & Data Operations) and Charlie Kurian (Director of Innovation & Strategy)—along with Johnny Rodriguez, Chief Innovation Officer at Fresh Consulting. The conversation explored how the Spurs are adopting AI across their organization, emphasizing a human-centered, values-driven approach to change and experimentation. Speakers discussed their phased strategy for AI adoption, from organization-wide literacy and early use cases to advanced applications like custom GPTs for fan insights and data operations. A major highlight was a preview of a new Sora-powered fan activation, developed in partnership with Fresh Consulting, enabling personalized, creative video experiences tied to Spurs theme nights. The event also spotlighted the Spurs’ commitment to community impact, including ongoing AI literacy programs for nonprofit leaders in South Texas. Overall, the session underscored how AI is helping the Spurs enhance operations, deepen fan engagement, and expand equitable access to emerging technology.

Event Replay: Game Time With the San Antonio Spurs: Engaging Fans with ChatGPT & Sora

<h1><strong>About the Talk:</strong></h1><p>Join leaders from OpenAI for Science and researchers from across academia for an accessible, interdisciplinary look at how AI is reshaping and speeding up modern research. In late October we hosted an in-person Higher Education Faculty Guild event, where Kevin Weil (VP, OpenAI for Science) described AI as a new kind of scientific tool that is compressing decades of research into years.&nbsp;We're excited to bring these presentations to everyone!</p><p>This session shows diverse ways that academic researchers are using AI, including:</p><p>• Using AI to trace the emotional patterns in literature and explore cultural archives.</p><p>• Neuroscience exploration using AI to rebuild brain circuits and study how memories form.</p><p>• Digital art-history research examining how computer vision models “see” and represent the visual world.</p><p>Tune in to see concrete examples and demos showing how AI can speed up time-consuming tasks like text analysis and image restoration, reveal connections across disciplines, and help researchers question model behavior, bias, and ethics. This session is designed for scientists, educators, and cultural researchers who want practical, real-world ways to bring AI into their work and classrooms.</p><p><br></p><h1><strong>About the Speakers:</strong></h1><h3><strong>Kevin Weil, VP, OpenAI for Science @ OpenAI</strong></h3><p>Kevin Weil is the VP, OpenAI for Science, previously Chief Product Officer at OpenAI, where he leads the development and application of cutting-edge AI research into products and services that empower consumers, developers, and businesses. With a wealth of experience in scaling technology products, Kevin brings a deep understanding of both consumer and enterprise needs in the AI space. Prior to joining OpenAI, he was the Head of Product at Instagram, leading consumer and monetization efforts that contributed to the platform's global expansion and success. Kevin's experience also includes a pivotal role at Twitter, where he served as Senior Vice President of Product. He played a key part in shaping the platform’s core consumer experience and advertising products, while also overseeing development for Vine and Periscope. During his tenure at Twitter, he led the creation of the company’s advertising platform and the development of Fabric, a mobile development suite. Kevin holds a B.A. in Mathematics and Physics from Harvard University, graduating summa cum laude, and an M.S. in Physics from Stanford University. He is also a dedicated advocate for environmental conservation, serving on the board of The Nature Conservancy.</p><p><br></p><h3><strong>Katherine Elkins, Professor of Humanities and Comparative Literature @ Kenyon College</strong></h3><p>Katherine Elkins is a Professor of Humanities and Comparative Literature at Kenyon College who has spent the last decade proving that AI can transform research in the humanities and social sciences. Her work demonstrates how AI enables new forms of discovery, from analyzing the emotional architecture of hundreds of stories to modeling social networks in historical letters and films. Elkins' book The Shapes of Stories (Cambridge University Press, 2022) established methods now used globally to quantify what we've long theorized about how stories work. Most recently, her research has explored questions surrounding AI and literary translation, the AI-Fiction training paradox, and AI for modeling the shapes of fairy tales.</p><p>As Principal Investigator for the US AI Safety Institute representing the Modern Language Association, Elkins brings humanities expertise to national AI policy while pioneering research methodologies that answer fundamental questions in our fields: What makes a story compelling? How do political narratives persuade? How do cultural meanings evolve over time? More importantly, AI democratizes cutting-edge research. Through Kenyon's AI Lab, undergraduates conduct original research that has been downloaded 85,000+ times from over 1,000 institutions worldwide. Students leverage AI to analyze everything from congressional AI legislation to emotion in Playboy covers, producing new knowledge that advances our disciplines.</p><p>Her international collaborations include developing AI methods alongside researchers with Colombia's Truth and Reconciliation Archive and contributing to UNESCO's AI and culture policy framework. Elkins will demonstrate how AI can act as a genuine research accelerator, enabling faculty and students to test longstanding theories in our fields and to answer questions that matter.</p><p><br></p><h3><strong>Leonardo Impett, Assistant Professor of Digital Humanities @ University of Cambridge</strong></h3><p>Leonardo Impett is Assistant Professor of Digital Humanities at the University of Cambridge, Bye-Fellow of Selwyn College, and Research Group Leader at the Max Planck Institute for Art History (Bibliotheca Hertziana), a German research institute in Rome, Italy. His research focuses on crossing AI approaches to art history with art-historical approaches to AI - and especially in how knowledge can go both ways. At Cambridge, he has recently been responsible for setting up and directing the new MPhil and PhD programs in Digital Humanities, which sit under the Faculty of English. He is occasionally asked to write about himself in the third person.</p><p>Leonardo has a background in information engineering and machine learning, having worked or studied at the Cambridge Machine Learning Lab, the Cambridge Computer Lab’s Rainbow Group, and Microsoft Research. He was previously Assistant Professor of Computer Science at Durham University, in the AI and Human Systems group. His PhD (EPFL) focused on the use of computer vision for the ‘distant reading’ of the history of art. He has previously been a fellow of Villa I Tatti – the Harvard University Center for Italian Renaissance Studies, and a visiting professor at the CNRS (French National Centre for Scientific Research) on the theme of “Artificial Intelligence and Digital Humanities.”</p><p>His new research group at the Max Planck Institute, “Machine Visual Culture,” investigates the reciprocal relationship between artificial intelligence and visual culture, focusing on how AI systems both shape and are shaped by histories of seeing. Combining digital art history with critical AI studies, the group explores AI not only as a technology but also as a cultural phenomenon with important implications for the humanities. Spanning the Max Planck and Cambridge, Leonardo’s distributed ‘lab’ includes over ten full-time PhDs and postdocs.</p><p>Leonardo’s new book (with Fabian Offert, UCSB) on the history of the philosophy underneath AI systems, Vector Media, is forthcoming with the University of Minnesota Press. He has been a PI in projects on AI, copyright, and political cartoons (Australian Research Council); studying the visual culture of computer vision datasets (Volkswagen Foundation); and user interaction with AI in online exhibitions (UKRI). Alongside his research in digital art history, he frequently works with machine learning in arts and culture, including with the Royal Opera House, the Whitney Museum of American Art, and the Liverpool Biennial, where he developed the Biennial’s first AI-curated show in 2021, based on OpenAI’s CLIP and GPT models.</p>

Virtual Event: Discoveries Across Disciplines

<h1><strong>About the Talk:</strong></h1><p>In this Forum session, OpenAI’s VP of Science Kevin Weil and Brian Spears, Director of Lawrence Livermore National Laboratory’s AI Innovation Incubator (AI3), will explore how advanced AI systems are beginning to make direct, measurable contributions to scientific research.</p><p>The discussion will highlight the OpenAI–LLNL partnership and what it looks like when frontier reasoning models are embedded in real scientific workflows—from accelerating hypothesis generation and analyzing complex datasets to uncovering connections that were previously out of reach. Weil will share the vision behind OpenAI for Science, including the ambition to “compress 25 years of scientific progress into 5,” by giving researchers powerful new instruments for discovery. Spears will offer the lab-level perspective on how AI is already expanding the pace, scale, and ambition of work across fields like energy, materials science, and high-performance computing.</p><p>By bringing frontier AI into some of the nation’s most capable—and most secure—research institutions, OpenAI and the national labs are working together to build a more rapid, reliable, and resilient model for turning scientific insight into real-world impact.</p><p><br></p><h1><strong>About the Speakers: </strong></h1><h3><strong>Kevin Weil, VP, OpenAI for Science @ OpenAI</strong></h3><p>Kevin Weil is the VP, OpenAI for Science, previously Chief Product Officer at OpenAI, where he leads the development and application of cutting-edge AI research into products and services that empower consumers, developers, and businesses. With a wealth of experience in scaling technology products, Kevin brings a deep understanding of both consumer and enterprise needs in the AI space. Prior to joining OpenAI, he was the Head of Product at Instagram, leading consumer and monetization efforts that contributed to the platform's global expansion and success. Kevin's experience also includes a pivotal role at Twitter, where he served as Senior Vice President of Product. He played a key part in shaping the platform’s core consumer experience and advertising products, while also overseeing development for Vine and Periscope. During his tenure at Twitter, he led the creation of the company’s advertising platform and the development of Fabric, a mobile development suite. Kevin holds a B.A. in Mathematics and Physics from Harvard University, graduating summa cum laude, and an M.S. in Physics from Stanford University. He is also a dedicated advocate for environmental conservation, serving on the board of The Nature Conservancy.</p><p><br></p><h3><strong>Brian Spears, Director of Artificial Intelligence (AI) @ Lawrence Livermore National Laboratory (LLNL)</strong></h3><p>Brian Spears is the director of Artificial Intelligence (AI) efforts at Lawrence Livermore National Laboratory (LLNL). He is responsible for setting vision for development and deployment of AI methods for national security missions while driving LLNL excellence in AI for science. He is a principal architect of Cognitive Simulation – artificial intelligence (AI) methods that combine high-performance simulation and precision experiments to improve scientific prediction. He is also leads the LLNL AI Innovation Incubator, AI3, which develops strong public-private partnerships on collaborative research projects to advance scientific AI in the national interest.</p><p>Brian served as the Deputy for Inertial Confinement Fusion (ICF) Modeling where he guided the scientific simulation half of the ICF program at the National Ignition Facility (NIF) through its historic achievement of nuclear fusion ignition. His team used novel AI methods to predict fusion ignition for the first time in history. In his personal research, he applies cognitive simulation techniques to stockpile stewardship missions with emphasis on quantifying uncertainty in inertial confinement fusion (ICF) experiments and developing a new generation of self-driving laboratory systems.</p><p>He received the LLNL Mid-Career Recognition for career achievements in research. He is the recipient of two Secretary of Energy Achievement Awards, multiple National Nuclear Security Administration Defense Programs Awards of Excellence, the Hyperion HPC Innovation Award, and the HPC Wire Editors’ Choice Award for Best Use of High-Performance Computing in Energy. Brian completed his PhD at the University of California, Berkeley where he was a National Defense Science and Engineering Graduate Fellow and studied topological methods for high-dimensional dynamical systems. He also holds a BS in mechanical engineering and a BA in liberal arts from the University of Texas at Austin. When not doing science, he can be found racing his bike or chauffeuring his two children to swim practice.</p>

Hybrid Event: Using AI to Fast-Track Scientific Breakthroughs

<h1><strong>About the Talk:</strong></h1><p>Join Romain Huet, OpenAI’s Head of Developer Experience, and Aaron Friel, Software Engineer at OpenAI, for a live conversation and demo revealing what it truly looks like to build with AI today—and where the role of software engineers is headed next.</p><p>The term ‘vibe engineering’ comes from Simon Willison, who coined it—half-jokingly—to describe a more rigorous, accountable way of building software with LLMs.It’s not a perfect label, but it captures the shift away from “vibe coding” toward a deeper, more structured craft where experienced engineers use AI to accelerate real, maintainable work while staying fully responsible for the results.</p><p>It’s fundamentally about augmentation and acceleration. AI is unlocking new ways of building, creating space for engineers to orchestrate systems, design abstractions, and move from writing every line of code to architecting what’s possible. Romain and Aaron will show how AI-assisted development is pushing the frontier—supercharging creativity, accelerating experimentation, and deepening their own understanding of code.</p><p>Aaron, who has been coding since grade school and recently demonstrated his workflow at Dev Day, will walk us through how he uses Codex to tackle multi-step projects, manage complexity, and translate ideas into sophisticated, functioning systems with the right prompts and structure.</p><p>Together, they’ll explore how the role of SWE is quickly evolving and how engineers can embrace this shift to unlock new capabilities, new career paths, and an entirely new era of software creation.</p><p>See Codex in action. Learn how top builders are adapting. And discover why, in the age of AI, the impact engineers have is bigger than ever.</p><p><br></p><h2><strong>About the Speakers:</strong></h2><h3><strong>Romain Huet, Head of Developer Experience @ OpenAI</strong></h3><p>Romain Huet is a French entrepreneur and engineer with a passion for developer platforms. He currently leads Developer Experience at OpenAI, inspiring and supporting founders and builders to integrate AI into their applications, and directing the creation of elegant and powerful tools for all developers. Previously, Romain spent five years at Stripe, leading product management for the developer platform and overseeing global developer relations. Before Stripe, he helped with the relaunch of Twitter’s developer platform and co-founded Jolicloud in Paris, where he developed a cloud-based operating system and the Jolibook, a personal computer.</p><p><br></p><h3><strong>Aaron Friel, Member of Technical Staff @ OpenAI</strong></h3><p>Aaron Friel is pushing the frontier of AI adoption and developer productivity on OpenAI's technical staff. A passionate open source contributor, he has contributed to compilers, web frameworks, and cryptography libraries. Friel believes we should make systems work for users, make software development easier, faster, and safer, and apply theory in the service of accessibility. In his free time, he enjoys Dungeons &amp; Dragons and exploring the applications of large language models, sometimes at the same time.</p>

Virtual Event: Vibe Engineering with OpenAI’s Codex

<h1><strong>About the Talk:</strong></h1><p>The San Antonio Spurs are used to winning championships. Now they’re trying to be first in AI-powered fan experiences.&nbsp;</p><p>Join us for a very special OpenAI Forum with the business leaders behind one of the NBA’s most well-known and far-reaching teams. We’ll speak to <strong>RC Buford</strong>, CEO at Spurs Sports &amp; Entertainment, <strong>Charlie Kurian, </strong>Director of Innovation and Strategy at Spurs Sports &amp; Entertainment, and <strong>Jordan Kolosey</strong>, VP, Business Strategy, Innovation &amp; Data Operations for Spurs Sports to hear how the Spurs are placing ChatGPT and Sora directly into the hands of fans during home games. </p><p><br></p><h1><strong>About the Speakers:</strong></h1><h3>RC Buford, Chief Executive Officer, Spurs Sports &amp; Entertainment</h3><p>Currently in his 34<sup>th</sup>&nbsp;season with Spurs Sports &amp; Entertainment (SS&amp;E), RC Buford was named CEO in 2019. In this role, he provides day-to-day alignment and long-term strategic vision for the 400-plus full-time and 1,000-plus part-time staff who make up SS&amp;E. The organization owns and operates the San Antonio Spurs, Austin Spurs (NBA G League) and San Antonio FC (USL Soccer), as well as manages the day-to-day operations of Spurs Give (Foundation), the Frost Bank Center, The Rock at La Cantera, Toyota Field and STAR Complex.</p><p>A two-time NBA Executive of the Year, RC previously served as General Manager and President of Sports Franchises, helping guide the Spurs to sustained success over two decades. His career began in coaching, with roles at the University of Kansas, University of Florida, and alongside Gregg Popovich with the Spurs.</p><p>He remains active in global basketball development through Basketball Without Borders and PeacePlayers International and serves on the advisory board for Duke University’s Fuqua/Coach K Center on Leadership &amp; Ethics.</p><p><br></p><h3>Charlie Kurian, Director of Innovation and Strategy, Spurs Sports &amp; Entertainment</h3><p>Charlie Kurian is a visionary leader at the forefront of sports innovation, combining a decade of experience in venture capital, consumer tech, SaaS, and global strategy to redefine industries and drive transformative growth. His innovative mindset has fueled projects generating over $500 million in revenue and has positioned the Spurs as pioneers in cutting-edge technology and business strategy. From orchestrating the launch of the iPhone 6—the most popular iPhone in history—to reimagining the global business model for the RFK Center for Justice alongside Kerry Kennedy, Charlie has consistently turned bold ideas into impactful realities. He was instrumental in helping the NBA break into the Indian market, inspiring over 18 million kids across 5 years, and has earned the trust of sovereign wealth funds in the Middle East to steer billion-dollar investments into transformative early stage startups. At Spurs Sports &amp; Entertainment, Charlie has championed initiatives that blend innovation and strategy, making the organization a leader in sports technology. He led the adoption of AI-powered fan engagement platforms, integrated immersive technologies like AR/VR, and made history by launching the first-ever NBA team deployment of ChatGPT Enterprise. His work continues to drive cultural shifts and set new benchmarks in the industry. Charlie’s expertise in human-centered design, behavioral science, and market strategy has shaped solutions replicated across industries, delivering value on a global scale. Whether shaping technology used by millions or forging pathways for next-generation innovation, Charlie’s ability to envision the future and execute with precision has made him a sought-after leader and trusted voice in business.</p><p><br></p><h3>Jordan Kolosey, VP, Business Strategy, Innovation &amp; Data Operations, Spurs Sports and Entertainment</h3><p>Jordan Kolosey is a data-driven leader in sports and entertainment, bringing over 15 years of experience across six different professional leagues to his role as Vice President of Business Strategy, Innovation &amp; Data Operations at the San Antonio Spurs. Passionate about using data to enhance fan engagement, drive innovation, and build stronger communities, Jordan is committed to creating memorable experiences that deepen connections between teams and their fans. Originally from St. Petersburg, Florida, Jordan played four years of collegiate basketball before earning a B.A. in Economics and an MBA from Rollins College. His career has been defined by a unique blend of analytical expertise, strategic leadership, and a love for the game, making him a dynamic force in shaping the future of sports business. Outside of work, Jordan is a proud father to Scarlett (4) and Jude (2). While his last dunk attempt in 2017 was a success, he has no plans to try again—ever.</p><p><br></p><h3>Johnny Rodriguez, Chief Innovation Officer @ Fresh Consulting</h3><p>Johnny Rodriguez is the Chief Innovation Officer at Fresh Consulting. Johnny's teams are responsible for designing, building, and deploying both internal and external-facing software and hardware products to help individuals and businesses all over the world. Johnny prides himself in being customer focused, data-driven, and operating with a growth mindset, all while overseeing the development of over 28 products. Johnny is a generative AI expert, who regularly contributes to thought leadership around design, development, augmented and virtual reality, and artificial intelligence. He is an active member of the Fresh Band. He also tweets regularly via @tryjohnny. Outside of work, Johnny enjoys spending time with his wife, Alyssa, and their three children.</p>

Virtual Event: Game Time With the San Antonio Spurs: Engaging Fans with ChatGPT & Sora

<h1><strong>Event Recap: <a href="https://forum.openai.com/home/blogs/greg-niemeyers-vision-for-an-ai-pedagogy-2025-11-14" rel="noopener noreferrer" target="_blank">Read the Article Here</a></strong></h1><h1><strong>About the Talk:</strong></h1><p>Greg Niemeyer explores how artificial intelligence is transforming what it means to learn, teach, and think. In this talk, <em>“Minus AI, Plus AI, Times AI,”</em> he outlines a framework for education in three modes: <strong>Minus AI</strong>, where learning happens the old fashioned way with just the human brain and human experience; <strong>Plus AI</strong>, where AI becomes an intentional, transparent collaborator with humans; and <strong>Times AI</strong>, where AI redefines knowledge itself.</p><p>Niemeyer says that because of AI, teachers need to change how they teach and students need to change how they learn so that schools don’t fall behind. He’s been testing how AI can help schools and has found that everything—teachers, students, and the technology—works together like one big team.Teachers have to figure out when to use less AI, more AI, or a mix it to ensure students stay curious, think deeply, work together, and find real meaning in what they study.&nbsp;</p><h1><strong>About the Speaker: </strong></h1><p><strong>Greg Niemeyer</strong> is a data artist and Professor of Media Innovation in the Department of Art Practice at the University of California, Berkeley. He is also the former director and co-founder of the Berkeley Center for New Media, where he helped build an internationally recognized hub for research, teaching, and public engagement at the intersections of technology, culture, and the arts. His academic trajectory began with studies in Classics and Photography in Switzerland, before a move to the Bay Area in 1992 set him on the path toward new media. In 1997, he received his MFA in New Genres from Stanford University, a program that encouraged his interest in experimental forms and the blending of media, technology, and conceptual art.</p><p>From an early age, Niemeyer was fascinated by mirrors—not just as physical objects, but as metaphors for media itself. He continues to describe his practice as a lifelong pursuit of making mirrors: systems that allow us to see from perspectives other than our own, reflecting both what we want to see and what we would rather not. For Niemeyer, such mirrors are essential tools. They help us recognize the contexts that shape our lives, the fragile ecosystems on which we depend, and the deep entanglement of human and non-human futures. By showing us what we might otherwise overlook, his mirrors invite us to make better, more informed choices.</p><p>Niemeyer’s art has been exhibited internationally at venues including the ZKM Center for Art and Media in Karlsruhe, the San Francisco Museum of Modern Art, the San Jose Museum of Art, the Stedelijk Museum in Amsterdam, the Townhouse Gallery in Cairo, museums in Zurich and New York, and many other institutions. His work has been supported by the MacArthur Foundation, the National Endowment for the Arts, Intel, Pro Helvetia, and numerous other organizations. These commissions and awards recognize a career defined by both conceptual rigor and technical experimentation.</p><p>Across more than two decades of practice, Niemeyer has produced projects that combine critical inquiry with accessible, often playful forms. Early works such as <em>Gravity</em> (Cooper Union, New York, 1997) and <em>PING</em> (SFMOMA, 2001) explored the relationship between networks and perception. Later projects expanded into sound and performance, as in <em>Oxygen Flute</em> (San Jose Museum of Art, 2002), <em>Organum Playtest</em> (BAMPFA, 2005), and <em>Good Morning Flowers</em> (San Francisco International Film Festival and Townhouse Gallery, Cairo, 2006). His commitment to addressing environmental and global themes is evident in projects like the Maldives Pavilion at the Venice Biennale (2013), <em>gnosisong</em> (CCD Mexico City, 2015), <em>//supraliminal</em> (ZKM, 2017), and <em>Sonic Web</em> (ZKM, 2018). More recent works include <em>Quantopia</em> (Yerba Buena Center for the Arts, 2019),&nbsp;<em>Who Owns the Rain</em> (C-Lab Taipei, Taiwan, 2024), <em>Sacramento River Paradox</em> (120710 Gallery, Berkeley, CA, 2024), <em>Synchronicity </em>(Salesforce Tower, 2024), <em>To The Sun</em> (UC Berkeley Carillon, 2025) and <em>Hand Signs</em> (120710 Gallery, Berkeley, CA, 2025),&nbsp;</p><p>The core of Niemeyer’s current practice is a data-driven animation. Large datasets and live data streams serve as his raw material, transformed into visual and sonic experiences that function as mirrors of the unseen. Air quality, water cycles, networks of care—these essential resources and infrastructures become sensible in his work, often revealing fragile patterns or emergent dynamics. By materializing what data holds, Niemeyer aims to spark new awareness of how we live now and how we might evolve from an impossible present toward more possible futures.</p>

Virtual Event: Minus AI, Plus AI, Times AI — A Vision for an AI Pedagogy

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