INFORMAZIONI SU QUESTO EPISODIO
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.
Inglese
Stati Uniti
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Cerca gli episodi passati di Running Through Walls.
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Dichiarazione di non responsabilità: Il podcast e la grafica incorporati in questa pagina provengono da Venrock, a venture capital firm, che è di proprietà del suo proprietario e non è affiliato o approvato da Listen Notes, Inc.
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