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In this episode, we explore the shift from traditional web browsing to AI-powered conversational search. What does this mean for truth, transparency, and the way we think. As chatbots become the new gateway to information, content creators face economic disruption: “zero-click” answers threaten ad revenue, pushing the world from SEO to Generative Engine Optimization (GEO). But the deeper concern lies in trust. Large language models can hallucinate facts, carry hidden biases, and often fail to cite sources, making it harder than ever to verify information.

The social consequences run even deeper. Personalized AI systems risk enclosing us in “generative bubbles,” echo chambers that amplify polarization and erode shared understanding. And as we offload more thinking to machines, there’s a growing danger of cognitive atrophy, losing our ability to reason critically.

We’ll investigate these challenges and discuss how to mitigate them through better transparency, global regulation like the EU AI Act, and widespread AI literacy. The goal: to ensure that conversational AI informs us, rather than shapes us.

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