In this episode, Christian Keller joins Henrik and Jeremy to explain how world models are shaping the next stage of generative AI. He talks through how AI learns using different types of inputs, and why video adds a sense of continuity, change, and cause and effect that text alone does not provide. Christian shares vivid analogies and clear examples to show what multimodal models make possible. The conversation moves into how AI is now used throughout the research process, from generating synthetic data to evaluating model outputs. Christian shares how this loop is already in motion and how AI is helping scale and accelerate experimentation. He also reflects on the shift after ChatGPT launched, and how that changed the pace and structure of research work. Later in the episode, Christian describes how individual workflows are evolving, and how asking simple questions like “Could AI help with this?” often opens new possibilities. He shares examples from his own work and home life, including how his wife built and graded her own French exercises using generative tools. Key Takeaways: Text removes essential information Christian explains that text compresses reality and loses detail, context and temporality. Images and video help restore what text leaves out. World models give AI a sense of change Video introduces the before and after and how things move or enter a scene. This helps models learn cause and effect and builds more robust understanding. AI helps build AI Models can generate data, evaluate results and support researchers during development. Christian shows how this creates new ways of scaling experimentation and training. Workflows shift when AI handles early steps Christian shows how tasks like debugging and prototyping change with generative tools, which reshapes roles and opens new opportunities for innovation. LinkedIn: Christian Keller | LinkedIn 00:00 Intro: Information Compression 00:37 Meet Christian Keller: AI Expert 01:13 The Evolution of AI Products 02:11 Impact of ChatGPT on AI Development 02:38 Understanding PyTorch and Its Role 07:41 The Bitter Lesson in AI 09:12 Challenges and Future of AI Models 18:57 Using AI to Build AI 23:25 Innovative Chat Interfaces 23:41 Building the Autos Platform 24:35 Epiphanies in AI Integration 25:18 AI in Entrepreneurial Workflows 26:32 Challenges in AI Integration 31:15 Bias in AI Models 38:06 Debrief 📜 Read the transcript for this episode: Transcript of AIs Next Frontier: World Models Explained by Christian Keller | For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin: Henrik: https://www.linkedin.com/in/werdelin Jeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.