This podcast was created entirely by AI and is based on the following research paper:

• Title: Can Large Language Models Develop Gambling Addiction?
• Source: arXiv
• Authors: Seungpil Lee et al.
• Published Date: 2025-09-26

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This podcast was created entirely by AI and is based on the following research paper:

• Title: Evaluation Awareness Scales Predictably in Open-Weights Large Language Models
• Source: arXiv
• Authors: Maheep Chaudhary et al.
• Published Date: 2025-09-10

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This podcast was created entirely by AI and is based on the following research paper:

• Title: Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook – a Grey Literature Review
• Source: arXiv
• Authors: Ahmed Fawzy et al.
• Published Date: 2025-09-30

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This podcast was created entirely by AI and is based on the following research paper:

• Title: Emergent Coordination in Multi-agent Language Models
• Source: arXiv
• Authors: Christoph Riedl
• Published Date: 2025-10-05

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This podcast was created entirely by AI and is based on the following research paper:

• Title: Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend to!
• Source: arXiv
• Authors: Xiangyu Qi et al.
• Published Date: 2023-10-05

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This podcast was created entirely by AI and is based on the following research paper:

• Title: Training Agents Inside of Scalable World Models
• Source: arXiv
• Authors: Danijar Hafner et al.
• Published Date: 2025-09-29

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This podcast was created entirely by AI and is based on the following research paper:

• Title: The Dragon Hatchling: The Missing Link Between the Transformer and Models of the Brain
• Source: arXiv
• Authors: Adrian Kosowski et al.
• Published Date: 2025-09-30

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This podcast was created entirely by AI and is based on the following research paper:

• Title: GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks
• Source: arXiv
• Authors: Tejal Patwardhan et al.
• Published Date: 2025-09-25

Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!