Embedded AI - Intelligence at the Deep Edge
“Intelligence at the Deep Edge” is a podcast exploring the fascinating intersection of embedded systems and artificial intelligence. Dive into the world of cutting-edge technology as we discuss how AI is revolutionizing edge devices, enabling smarter sensors, efficient machine learning models, and real-time decision-making at the edge.
Discover more on Embedded AI (https://medium.com/embedded-ai) — our companion publication where we detail the ideas, projects, and breakthroughs featured on the podcast.
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Embedded AI - Intelligence at the Deep Edge
Challenges of the AI Browser Revolution
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.
If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!