Uploaded February 2026 | Updated September 2026, 1 week ago
In this episode of our podcast, we explore reasoning, mental representation, and one of the most common questions about AI today: Do large language models like ChatGPT really think — or are they just very good at sounding like they do? A conversation about minds, machines, and what “thinking” really means.
Hosts:
Mudar Adas is a PhD researcher in the Neuro-Cognitive Modelling Lab at the University of Tübingen.
His research focuses on understanding how intelligent agents—both consciously and unconsciously—protect themselves in daily interactions and on developing cognitive models to predict and simulate these behaviors more effectively. Beyond his scientific work, Mudar is also an accomplished novelist, having written and published three books. His dual passion for science and storytelling allows him to bring a unique and engaging perspective to the podcast.
Prof. Martin V. Butz is the head of the Neuro-Cognitive Modelling Lab at the University of Tübingen.
A renowned cognitive scientist, Martin’s research centers on predictive brain mechanisms, embodied intelligence, and neural-cognitive modeling. He is widely recognized for his work on how brains learn to anticipate, plan, and interact with the environment. Martin has authored numerous publications in the field and has a deep interest in bridging the gap between theoretical understanding and practical applications of intelligence. His expertise in AI, combined with his fascination for human cognition, makes him an ideal co-host for this intellectually stimulating podcast.
#ArtificialIntelligence #AGI #ASI #MachineLearning #Superintelligence #FutureOfAI #AIApplications #AIEthics #AIResearch #AIvsAGI #CognitiveScience #Neuroscience #MindAndMachine #Cognition #HumanMind #CognitiveNeuroscience #PhilosophyOfMind #ConsciousnessStudies #UniversityOfTuebingen #TuebingenUniversity #UniTuebingen #Tuebingen #AIResearchTuebingen #TuebingenScience #GermanUniversities #ResearchInGermany #AI
In this episode of our podcast, we explore reasoning, mental representation, and one of the most common questions about AI today: Do large language models like ChatGPT really think — or are they just very good at sounding like they do? A conversation about minds, machines, and what “thinking” really means.
Hosts:
Mudar Adas is a PhD researcher in the Neuro-Cognitive Modelling Lab at the University of Tübingen.
His research focuses on understanding how intelligent agents—both consciously and unconsciously—protect themselves in daily interactions and on developing cognitive models to predict and simulate these behaviors more effectively. Beyond his scientific work, Mudar is also an accomplished novelist, having written and published three books. His dual passion for science and storytelling allows him to bring a unique and engaging perspective to the podcast.
Prof. Martin V. Butz is the head of the Neuro-Cognitive Modelling Lab at the University of Tübingen.
A renowned cognitive scientist, Martin’s research centers on predictive brain mechanisms, embodied intelligence, and neural-cognitive modeling. He is widely recognized for his work on how brains learn to anticipate, plan, and interact with the environment. Martin has authored numerous publications in the field and has a deep interest in bridging the gap between theoretical understanding and practical applications of intelligence. His expertise in AI, combined with his fascination for human cognition, makes him an ideal co-host for this intellectually stimulating podcast.
#ArtificialIntelligence #AGI #ASI #MachineLearning #Superintelligence #FutureOfAI #AIApplications #AIEthics #AIResearch #AIvsAGI #CognitiveScience #Neuroscience #MindAndMachine #Cognition #HumanMind #CognitiveNeuroscience #PhilosophyOfMind #ConsciousnessStudies #UniversityOfTuebingen #TuebingenUniversity #UniTuebingen #Tuebingen #AIResearchTuebingen #TuebingenScience #GermanUniversities #ResearchInGermany #AI









![Staffel 2 Folge 1: KI im Wirtschaftsunterricht
Im Auftakt zur zweiten Staffel des Podcasts Wirtschaft unterrichten tauchen wir in das Thema „KI im Wirtschaftsunterricht“ ein. Ausgehend vom 90. Heft der Zeitschrift Deutschland & Europa sprechen wir darüber, wie KI ihren Weg in die Schule und den Wirtschaftsunterricht findet. Es geht um Token, Arbeitsmarktveränderung und vieles mehr...
Links und Ressourcen
Webseite des Projekts:
• www.wirtschaft-unterrichten.de – Informationen und Materialien rund um die Wirtschaftsdidaktik
Ausgangspunkt der Folge:
• Landeszentrale für politische Bildung (2025). Künstliche Intelligenz im Gemeinschaftskunde- und Wirtschaftsunterricht. Deutschland & Europa (Heft 90). https://www.lpb-bw.de/publikation-anzeige/de-90-2025-ki-im-gemeinschaftskunde-und-wirtschaftsunterricht/3811.
Weiterführendes Material:
• Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung (2023). Wachstumsschwäche Überwinden – In die Zukunft investieren. (= Jahresgutachten 2023/24). https://www.sachverstaendigenrat-wirtschaft.de/fileadmin/dateiablage/gutachten/jg202324/JG202324_Gesamtausgabe.pdf. [Relevant ist Kapitel 2.2.4]
• Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung (2025). Frühjahresgutachten 2025. https://www.sachverstaendigenrat-wirtschaft.de/fileadmin/dateiablage/gutachten/fg2025/FG2025_Gesamtausgabe.pdf. [Relevant ist Kapitel 4.3.3]
Gast in dieser Episode:
Lucy Haag – Lehrstuhl für Ökonomische Bildung und Wirtschaftsdidaktik Staffel 2 Folge 1: KI im Wirtschaftsunterricht](https://i.ytimg.com/vi/t0kVkupeLIE/mqdefault.jpg)
