The event was an OpenAI Forum conversation focused on how people can use ChatGPT to navigate job searches, interviews, and career transitions with more clarity and confidence. Hosted by Natalie Cone, the session featured Selena Ma, Head of Recruiting Programs at OpenAI, who shared a recruiter’s perspective on preparation, storytelling, and skill translation across industries. The discussion highlighted ChatGPT as a practical coach for interview prep, confidence-building, self-reflection, and translating experience into compelling resumes and narratives. Speakers emphasized career agency, encouraging participants to define their own non-negotiables, avoid unhealthy comparison, and pursue paths aligned with their strengths and motivations. The event addressed nontraditional and nontechnical candidates, underscoring that AI companies hire across many functions and value transferable skills, curiosity, and adaptability. Audience Q&A covered topics including authenticity when using AI, standing out in competitive markets, career pivots into AI, and the role of projects, portfolios, and networking. Overall, the session framed AI as an accessible, democratizing tool that supports learning, workforce mobility, and personal growth across career stages.

Gašper Beguš explained that AI is becoming a powerful tool for scientific discovery, comparing it to a “metal detector” that helps researchers narrow hypotheses and find causal explanations more quickly. He described how large language models now demonstrate advanced linguistic abilities, including recursion and metalinguistic analysis, challenging the long-held belief that only humans can learn complex language. Beguš showed how his team uses AI to generate synthetic “constructed languages” to explore the space of what communication systems could look like beyond human norms. He then presented a central case study where AI interpretability helped uncover previously unknown, vowel-like spectral structures in sperm whale communication. Kevin Weil emphasized how access to capable models, more inference time, and better scientific tools can reduce friction across disciplines and accelerate discovery. Both speakers stressed that interpretability is critical for understanding what models learn, especially as AI systems begin to develop their own internal communication protocols. The conversation concluded by linking these advances to broader societal impact, including insights into the human brain, responsible AI development, and potential implications for law and animal rights.

A personal essay from Chris Lehane outlining a “Fair Chance Agenda” for 2026: expand access and literacy, protect kids, invest in energy + data infrastructure, and ensure AI-driven growth is broadly s

In this Forum session, OpenAI leaders Kate Rouch and Dr. Nate Gross joined James Hairston to discuss the launch of ChatGPT Health and OpenAI for Healthcare. They explored how AI can responsibly support patients, clinicians, and health systems by offering personalized, secure, and contextual assistance. Nate emphasized that over 40 million people ask ChatGPT health-related questions daily, highlighting both the demand and responsibility for thoughtful design. Kate shared her personal experience navigating a breast cancer diagnosis, explaining how ChatGPT empowered her to better understand clinical literature, prepare for specialist visits, and communicate with her family. The speakers detailed how ChatGPT Health integrates with medical records, wearables, and health apps to provide a more holistic, patient-centered experience. For clinicians, OpenAI’s tools help reduce administrative burden, align care with institutional policies, and improve documentation. Together, they underscored the importance of trust, transparency, and collaboration in building AI tools that enhance—not replace—human judgment in healthcare.

Millions use ChatGPT to make sense of healthcare—comparing plans, costs, and coverage—as AI helps bridge access gaps where the system falls short.

AI infrastructure can power communities, not strain them. OpenAI’s Wisconsin Stargate site pairs clean energy and local jobs with new insights on solopreneurs using ChatGPT

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. 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. 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.