Season 1. Episode 13. Unscripted with Sarah Chardonnens

Dr. Sarah Chardonnens is a professor at the University of Freiburg with a PhD in the science of learning, and in this conversation with Jeff Pedowitz she takes on the question everyone has an opinion about but few have studied directly: does AI make us smarter, or just make us feel smarter while a real skill quietly erodes underneath. Drawing on research showing LLM error rates ranging from 16 percent on basic questions to as high as 60 to 70 percent on complex tasks, despite consistently fluent and convincing output, Chardonnens argues the effect of AI on a learner depends entirely on their existing expertise and when in the learning process the tool is introduced.

 

She walks through her Synapse model, four phases of learning, sensory input, network adaptation, participation, and storage and embodiment, and explains why AI can genuinely amplify an expert's thinking while quietly flattening a novice's, particularly when it short-circuits the struggle that actually builds neural architecture.

 

Drawing on her own background as a concert musician and martial artist, she connects the discipline and productive struggle required in both to what's now missing in unsupervised AI use, and closes with a simple framework anyone can apply immediately: think about why you're using AI before you start, stay aware of whether you're still thinking during it, and ask afterward what you could still explain yourself, without the machine.