Another moment from this video featuring Dr. Li Jiang, the director of the Stanford AIRE program.
When discussing AI, Dr. Jiang suggests that we learn the difference between human and AI thinking.
AI uses reinforcement-based learning that uses robust data to find optimized solutions based on current data.
What does this mean? It can find ideal solutions—but only based on available information. The correct data can accelerate our journey from 1 to 100.
But the human part? That is the 0 to 1. It is innovation, creativity, and discovery. This is the one thing AI can't do currently and is the one thing we can learn to embrace.
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