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#57 - Prof. Melanie Mitchell - Why AI is harder than we think
Machine Learning Street Talk (MLST)
Exploring AI Limitations and Possibilities
This chapter examines the limitations of current neural networks in handling complex, open-ended tasks and the need for iterative processes in AI advancements. It discusses integrating neuro-symbolic approaches that merge symbolic reasoning with neural capabilities while addressing the challenges of blending different AI paradigms. The conversation also highlights the implications of emergent behaviors in AI, drawing parallels between human cognition and machine vulnerabilities.
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