EP16: AI News and Papers

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/2510.26418Kosmos: An AI Scientist for Autonomous Discovery - https://t.co/9pCr6AUXAeJustRL: Scaling a 1.5B LLM with a Simple RL Recipe - https://relieved-cafe-fe1.notion.site/JustRL-Scaling-a-1-5B-LLM-with-a-Simple-RL-Recipe-24f6198b0b6b80e48e74f519bfdaf0a8Chapters00:00 Navigating the Peer Review Process04:17 Kimi K2 Thinking: A New Era in AI12:27 The Future of Tool Calls in AI17:12 Exploring Google's New TPUs22:04 The Importance of Real-World Data in Robotics28:10 World Models: The Next Frontier in AI31:36 Nvidia's Dominance in AI Partnerships32:08 Exploring Recent AI Research Papers37:46 Chain of Thought Hijacking: A New Threat43:05 Simplifying Reinforcement Learning Training54:03 Cosmos: AI for Autonomous Scientific DiscoveryMusic:"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