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# OpenAI Leadership
# AI Governance
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Event Replay: Sam Altman on Building the Future of AI



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Sam Altman, Adrien Ecoffet, Joshua Achiam & 1 content:more content:speaker
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Event Replay: From Terminal to Turnaround: How GitLab’s Co-Founder Leveraged ChatGPT in His Cancer Fight
Sid Sijbrandij, Jacob Stern, Chris Nicholson & 1 content:more content:speaker
Event Replay: Building the Future of AI: Fireside Chat on National Security with Thom Mason, Kim Budil, Donald Haynes, and Brian Spears
Kim Budil, Don Haynes, Brian Spears & 1 content:more content:speaker
Event Replay: Inside OpenAI's Investigation into Foreign Influence on U.S. AI Debates
Albert Zhang, Ben Nimmo & Chris Nicholson
Event Replay: Building an AI-Powered Workforce at Brooklyn Sports & Entertainment
Chris Nicholson, Keia Cole & David Simbandumwe
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Kim Budil, Don Haynes, Brian Spears & 1 content:more content:speaker · Jun 26th, 2026
This Forum event featured Thom Mason and Kim Budil in conversation with moderators Donald Haynes and Brian Spears on how AI is reshaping national security, scientific leadership, and the role of the U.S. national laboratories. The discussion explored how a rapidly changing global security environment, including competition with China and evolving nuclear deterrence dynamics, is converging with a major computational and AI revolution. The speakers emphasized that AI creates enormous opportunities for the labs to accelerate scientific discovery, strengthen resilience, and improve mission execution, while warning that existing institutions, infrastructure, classified environments, and workforce culture are not yet prepared to fully capitalize on these capabilities. A major theme was the “AI overhang,” or the gap between what frontier AI can already do and how slowly critical institutions are able to adopt it. The conversation also highlighted the need for closer partnerships between national laboratories and frontier AI companies, recognizing that many important AI advances are now being driven by the private sector. The session concluded with a call for the United States to invest at greater scale, modernize its scientific infrastructure, empower technical experts, and move with greater urgency to translate AI leadership into long-term strategic advantage.
# AI security
# AI Policy
# AI Safety
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Albert Zhang, Ben Nimmo & Chris Nicholson · Jun 25th, 2026
This OpenAI Forum event featured Chris Nicholson in conversation with Ben Nimmo and Albert Zhang from OpenAI’s Intelligence and Investigations team, known as I2. The discussion focused on how OpenAI detects, disrupts, and reports coordinated misuse of AI, particularly covert influence operations linked to the People’s Republic of China. Ben and Albert explained how threat actors use AI to generate political content, impersonate Americans online, and attempt to shape public opinion around issues like U.S. AI policy and data center development. They emphasized that OpenAI’s investigations focus on deceptive behavior and hidden coordination, not on suppressing legitimate political debate. The speakers also shared how OpenAI uses its own tools, including Codex and AI agents, to scale investigations, identify suspicious patterns, and support open-source research. The conversation closed with practical advice for the public: be cautious of emotionally manipulative content online, question the source of information, and build a more trusted and diverse “information diet.”
# Threat Intelligence Report
# AI security
# Ethical AI
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Jalapeño is our next step toward making AI more efficient and widely available.
# Infrastructure as Destiny
# AI Policy
# Scaling AI



Chris Nicholson, Keia Cole & David Simbandumwe · Jun 9th, 2026
OpenAI Forum hosted Brooklyn Sports and Entertainment for a conversation on how its AI Lab is helping employees across the organization learn, experiment, and build with AI. Chris Nicholson spoke with David Simbandumwe and Keia Cole about why they launched the lab, how they structured training and support, and what they learned from putting AI tools in the hands of the people closest to the work.
The session also featured demos from AI Lab participants, including tools for ticketing copy, Liberty milestone tracking, and data insights. Together, the conversation showed how Brooklyn Sports and Entertainment is using AI to speed up everyday workflows, improve fan-facing work, and help teams turn ideas into working prototypes.
# AI Sports
# Future of Work
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Ronnie Chatterji, Gene Rapoport & Arjun Dutt · Jun 5th, 2026
Ronnie Chatterji spoke with Arjun Dutt and Gene Rapoport from Bain about how companies can move from early AI experimentation to business-level impact. The group emphasized redesigning workflows around AI, rather than bolting tools onto existing processes, and using clear metrics like customer response time, win rate, employee experience, and profit impact. They also discussed the need for executive ownership, stronger AI literacy across teams, and practical governance so companies can move quickly without creating new risks. A recurring theme was that AI readiness comes from starting with focused, high-value use cases and learning through implementation.
# AI Adoption
# Future of Work
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Sarah Friar & Jagdeep Singh Bachher · Jun 3rd, 2026
OpenAI CFO Sarah Friar joined UC Investments CIO Jagdeep Singh Bachher for an OpenAI Forum conversation on AI’s impact on finance and careers. Friar reflected on her nonlinear path from engineering to finance leadership, emphasizing curiosity, adaptability, and kindness as essential skills for students entering a changing workforce. She described how OpenAI’s finance team is using tools like custom GPTs for investor relations, audit support, and more. While AI is transforming finance tasks and expanding what lean teams can do, Friar stressed that human trust and relationships remain central, especially in fundraising and leadership.
# AI Education
# Future of Work
# Higher Education
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Geoffrey Mosoti Nyakiongora & Mark Murray · May 28th, 2026
Geoffrey Mosoti Nyakiongora of the Gates Foundation joined the OpenAI Forum for a conversation on how AI could help public health teams prepare for future outbreaks. He discussed what COVID revealed about the speed of public health crises and the fragility of healthcare systems in resource-constrained settings.
Geoffrey also explained how AI can help researchers work through large healthcare datasets, identify unusual patterns earlier, and test possible responses faster. The conversation explored how these tools could give public health leaders more time to allocate resources, prepare hospitals, and act before a crisis spreads.
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Chris Nicholson & Thibault Sottiaux · May 14th, 2026
The forum featured a conversation with Tibo Sottiaux, Head of Codex at OpenAI, about how Codex is evolving from a developer tool into a broader AI agent for knowledge work, personal productivity, and complex multi-step tasks. The discussion explored how people are using Codex to reduce friction, manage information overload, automate repetitive work, and coordinate projects across tools and sources. Tibo also shared thoughts on enterprise adoption, including trust and security, as well as where agents are headed next with more persistent, goal-oriented workflows.
# Codex
# AI Adoption
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Liam Corrigan, Natalie Staudacher & Mark Murray · May 6th, 2026
This conversation framed ChatGPT as a tool that helped Liam Corrigan move from managing the noise of daily life to focusing more fully on the things that mattered most. Liam described using the models to reduce friction across training, work, and relationship logistics, from nutrition research and scheduling to travel planning and everyday decision-making. Natalie Staudacher added a product-side perspective, emphasizing how the breadth of use cases surprised her and how the models became useful in both professional and personal contexts. The discussion repeatedly returned to the idea that AI is most valuable when it helps people become more present, protect time, and stay connected to human judgment, discipline, and teamwork rather than replacing them.
# AI Sports
# ChatGPT Tips
# Career
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Xin Jin, Grace Zheng, Joy Jiao & 1 content:more content:speaker · Apr 23rd, 2026
This conversation framed biology as a field moving from description to prediction. Grace Zheng emphasized that modern sequencing, imaging, single-cell measurement, and editing tools are making it possible to see biological systems more realistically and model how changes may affect outcomes. Xin Jin described predictive biology as a shift from asking what something is to asking what happens if it changes, whether through a mutation or a drug intervention. Natalie Cone connected that framing to the broader OpenAI science effort, including GPT-Rosalind, which is intended to uplift life science research and accelerate discovery. The discussion repeatedly returned to the idea that biology is too complex for any one lab to measure experimentally in full, which is why AI-assisted prediction can meaningfully change research and medicine.
While we didn’t have time to get through all of the audience questions live, Grace and Xin kindly followed up with written responses linked here. https://tinyurl.com/44jzepa9
# AI Science
# AI Research
# Healthcare
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