Many people get caught in a vicious cycle when using AI: ask a question, receive an answer, and then believe it. Few truly understand the underlying logic—how is this conclusion generated? What model is running? Has it been tampered with along the way?

This black box issue has always existed. However, some projects take a different approach—rather than selling the story of "AI being so smart," they focus on the deeper need of understanding "how AI thinks." OpenGradient is doing exactly that—it’s not about AI’s expressive ability, but about the traceability and transparency of AI decision-making. This approach is actually a new direction within the entire ecosystem.