The panel discusses OpenAI's progress with GPT-5, emphasizing its fusion of fast responses and long-horizon reasoning, which enables transformative applications in math, physics, and coding. Traditional benchmarks are no longer sufficient, so evaluation is shifting toward real-world impact, such as economically valuable discoveries. Reinforcement learning has reemerged as a key driver, especially when combined with language models, enabling better reward modeling and real-world grounding. The New Codex exemplifies this shift, making 'vibe coding' the new norm where AI-generated code surpasses human efficiency. The vision of an automated researcher—capable of sustained, agentic problem-solving—is central to OpenAI’s roadmap. Success hinges on balancing stability with depth of reasoning, particularly in open-ended domains. Culturally, OpenAI prioritizes mission-driven talent, protects fundamental research, and treats compute as a critical constraint. Trust, collaboration, and persistence remain foundational to breakthroughs, as the team focuses on long-term impact over short-term demos.