Machine Learning Street Talk (MLST) cover image

Machine Learning Street Talk (MLST)

MLST #78 - Prof. NOAM CHOMSKY (Special Edition)

Jul 8, 2022
In this captivating discussion, Prof. Noam Chomsky, the father of modern linguistics and a towering intellectual, shares insights on the evolution of language and cognition. He critiques misconceptions about his work while exploring the boundaries between AI and human understanding. The conversation delves into the significance of probabilistic methods in neural networks and the innate aspects of language acquisition. Chomsky also reflects on the philosophical challenges surrounding determinism and free will, emphasizing the complexities of thought and communication.
03:37:01

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Language acquisition is genetically pre-programmed, challenging behaviorist views on learning.
  • Symbolic manipulation plays a crucial role in human cognition, distinguishing human intelligence.

Deep dives

The Pre-Programmed Nature of Language Acquisition

Noam Chomsky argued that language acquisition is genetically pre-programmed and that all human languages share a basic structure. This challenges the behaviorist view that language learning is solely based on empirical stimulus and response.

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