The Most Interesting Thing in A.I. cover image

A Different Approach to AI - with Nicholas Thompson and Gary Marcus

The Most Interesting Thing in A.I.

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Bridging the Gap: Neurosymbolic AI Explored

This chapter discusses the economic implications and limitations of current AI development, advocating for the integration of neurosymbolic AI methods that combine statistical learning with symbolic reasoning. It highlights the need for improved interpretability and the challenges faced by traditional AI systems, emphasizing ethical concerns and biases in decision-making. The conversation explores the complexities of creating robust AI models while addressing the potential dangers of relying on flawed technologies, particularly in military applications.

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