How Deeply Human Is Language? Chomsky, the Brain, and the AI Fantasy
-
- Taschenbuch
- eBook ausgewählt
-
Form:Einzelkauf Download
-
Sprache:Englisch
30,40 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Ja
Family Sharing
Ja
Text-to-Speech
Ja
Erscheinungsdatum
21.04.2026
Verlag
MIT PressSeitenzahl
214 (Printausgabe)
Dateigröße
17206 KB
Sprache
Englisch
EAN
9780262052016
A leading neurolinguist explains linguistic theory and large language models-the top contenders for understanding human language-and evaluates them in the context of the brain.
Contemporary linguistics, founded and inspired by Noam Chomsky, seeks to understand the hallmark of our humanity-language. Linguists develop powerful tools to discover how knowledge of language is acquired and how the brain puts it to use. AI experts, using vastly different methods, create remarkable neural networks-large language models (LLMs) such as ChatGPT-said to learn and use language like us.
Chomsky called LLMs "a false promise." AI leader Geoffrey Hinton has declared that "neural nets are much better at processing language than anything ever produced by the Chomsky School of Linguistics."
Who is right, and how can we tell? Do we learn everything from scratch, or could some knowledge be innate? Is our brain one big network, or is it built out of modules, language being one of them?
In How Deeply Human Is Language?, Yosef Grodzinsky explains both approaches and confronts them with the reality as it emerges from the engineering, linguistic, and neurological record. He walks readers through vastly different methods, tools, and findings from all these fields. Aiming to find a common path forward, he describes the conflict, but also locates points of potential contact, and sketches a joint research program that may unite these communities in a common effort to understand knowledge and learning in the brain.
Contemporary linguistics, founded and inspired by Noam Chomsky, seeks to understand the hallmark of our humanity-language. Linguists develop powerful tools to discover how knowledge of language is acquired and how the brain puts it to use. AI experts, using vastly different methods, create remarkable neural networks-large language models (LLMs) such as ChatGPT-said to learn and use language like us.
Chomsky called LLMs "a false promise." AI leader Geoffrey Hinton has declared that "neural nets are much better at processing language than anything ever produced by the Chomsky School of Linguistics."
Who is right, and how can we tell? Do we learn everything from scratch, or could some knowledge be innate? Is our brain one big network, or is it built out of modules, language being one of them?
In How Deeply Human Is Language?, Yosef Grodzinsky explains both approaches and confronts them with the reality as it emerges from the engineering, linguistic, and neurological record. He walks readers through vastly different methods, tools, and findings from all these fields. Aiming to find a common path forward, he describes the conflict, but also locates points of potential contact, and sketches a joint research program that may unite these communities in a common effort to understand knowledge and learning in the brain.
Kundinnen und Kunden meinen
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kund*innen durch Ihre Meinung
Kurze Frage zu unserer Seite
Vielen Dank für Ihr Feedback
Wir nutzen Ihr Feedback, um unsere Produktseiten zu verbessern. Bitte haben Sie Verständnis, dass wir Ihnen keine Rückmeldung geben können. Falls Sie Kontakt mit uns aufnehmen möchten, können Sie sich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice