How Today’s Agentic AI Changes What and How We Teach with Teddy Svoronos

Agentic AI and its implications for teaching and AI literacy are explored, featuring guest Teddy Svoronos. The discussion centers on agentic AI as LLMs running tools in a loop to achieve goals, highlighting the shift from prompt engineering to understanding the capabilities and infrastructure of AI agents. A key concept introduced is "cognitive debt," the potential knowledge gap created when offloading tasks to AI, emphasizing the importance of metacognition in managing this debt. The conversation also covers practical aspects such as using GitHub for version control and balancing privacy concerns with the benefits of AI assistance.