The debate between open and closed advanced AI models is a distraction. Instead of focusing on one business model, we should adopt a holistic definition of AI openness, emphasizing open science, transparency, and equity for AI to serve the public interest. Open science promotes technological advancement by enabling more diverse and widely available ideas. Public funding and open publication of research play crucial roles in driving innovation in AI. Transparency is essential for accountability, requiring timely disclosure, clear communication, and explicit documentation standards.

An open ecosystem inclusive of diverse perspectives can lead to more economic benefits and avoid concentration of power. However, we need to go beyond setting the stage and invest in inclusive AI development, evaluation, and participation for marginalized groups. Ensuring safety requires national research and open innovation systems, visible development of technologies, and clear rules of the road. Listening to different voices in the AI conversation is crucial for AI to fulfill its promise.