The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI: Summary & Key Insights

My earliest memories are filled with sights and textures—the glimmer of dew on cabbage leaves, the rough edge of a magnifying glass borrowed from a neighbor. I didn’t know any scientists then; to me, inquiry was simply play. Beijing in the late 1970s and early 1980s was rebuilding itself after cultural upheaval, and yet nature endured—it whispered lessons about order and chaos, pattern and randomness. Those days taught me that curiosity can survive scarcity. The cramped apartment my family shared had barely enough light for reading, but endless possibility for imagination. My father fixed broken radios, my mother stitched together dreams through books. They gave me one invisible gift: permission to wonder.

Arriving in the United States as a teenager felt like being rebooted. Language differences were the most visible barrier, but the deeper shock was cultural—the sense that I’d been dropped into an entirely new algorithm of life. Translating between two worlds required not only learning English words but decoding unspoken norms of confidence, competition, and individuality. Those high school years crystallized something vital: learning is not just an intake of information; it’s the reconstruction of identity. I began to see that science, too, thrives on this humility—the readiness to start again when your model fails.