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In this episode, we discuss various topics in AI, including the challenges of the conference review process, the capabilities of Kimi K2 thinking, the advancements in TPU technology, the significance of real-world data in robotics, and recent innovations in AI research. We also talk about the cool "Chain of Thought Hijacking" paper, how to use simple ideas to scale RL, and the implications of the Cosmos project, which aims to enable autonomous scientific discovery through AI. Papers and links: Chain-of-Thought Hijacking - https://arxiv.org/pdf/2510.26418 Kosmos: An AI Scientist for Autonomous Discovery - https://t.co/9pCr6AUXAe JustRL: Scaling a 1.5B LLM with a Simple RL Recipe - https://relieved-cafe-fe1.notion.site... Chapters 00:00 Navigating the Peer Review Process 04:17 Kimi K2 Thinking: A New Era in AI 12:27 The Future of Tool Calls in AI 17:12 Exploring Google's New TPUs 22:04 The Importance of Real-World Data in Robotics 28:10 World Models: The Next Frontier in AI 31:36 Nvidia's Dominance in AI Partnerships 32:08 Exploring Recent AI Research Papers 37:46 Chain of Thought Hijacking: A New Threat 43:05 Simplifying Reinforcement Learning Training 54:03 Cosmos: AI for Autonomous Scientific Discovery Music: "Kid Kodi" — Blue Dot Sessions — via Free Music Archive — CC BY-NC 4.0. "Palms Down" — Blue Dot Sessions — via Free Music Archive — CC BY-NC 4.0. Changes: trimmed