Suttons „Sackgassen“-Argument für LLMs

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This episode was published on October 1, 2025.

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In dieser Folge von "AI in 5,4,3,2,1" beleuchtet Dominic, Gründer von 'Leaders of AI', eine spannende Kontroverse in der Welt der Künstlichen Intelligenz: Sind große Sprachmodelle der richtige Weg oder nur Nachahmer menschlichen Wissens? Diese Diskussion führt uns in neue Horizonte für das Lernen in der KI. - Richard Sutton, ein Pionier des verstärkenden Lernens, stellt die Skalierung großer Sprachmodelle infrage. - Vergleich mit einem Koch: Theorie vs. praktische Erfahrung in der Realität. - Einführung eines neuen Ansatzes namens "Oak", ein autonomer, sich selbst lernender Agent. - Paradigmenwechsel: Von starren Modellen hin zu dynamischen, kontinuierlich lernenden Systemen. Mehr Infos gibt es unter: https://www.youtube.com/live/XqYTQfQeMrE?t=22620s

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Suttons „Sackgassen“-Argument für LLMs

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