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Leading AI researcher and Professor at the Santa Fe Institute Melanie Mitchell joins Ethan Batraski for a conversation on how our current generation of AI is powerful, promising, and still badly in need of transparency about how it actually "thinks." She gives advice on how to redesign our benchmarks as true measures instead of targets, and how we can incorporate dynamic testing and deeper interpretability to close the gap between today's AI systems and true intelligence.
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