Discovery vs. Optimization
Ekin explores the paradox of knowledge in scientific discovery, emphasizing that deep expertise in a specific area often hinders the ability to innovate outside that realm. He highlights how machine learning excels within familiar training sets but struggles with novel predictions, paralleling the challenges faced in material science where new discoveries are rare. The conversation reveals the tension between optimizing existing materials and the difficulty of finding groundbreaking alternatives.In this clip
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