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15min chapter
"AI should NOT be regulated at all!" - Prof. Pedro Domingos
Machine Learning Street Talk (MLST)
Chomsky, Data, and Language Learning
This chapter critiques Noam Chomsky's theories on language acquisition, highlighting their failure to align with empirical data and the advancements of data-driven approaches. The discussion contrasts traditional linguistic models with machine learning methods, showcasing how the latter can better capture the complexities of language. It also contemplates the implications of these theories on artificial intelligence and the evolution of understanding in both linguistics and physics.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode