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
Cognitive Collapse: Outsourcing the Neocortex
In this episode, we imagine a near future where every person is accompanied by a constant, all-knowing Artificial General Intelligence — a presence woven into daily life through wearables, ambient devices, and eventually neural interfaces. These systems promise effortless convenience: instant recall, continuous advice, and emotional support. But at what cost?
We investigate the looming risks of cognitive outsourcing: what happens when we hand over memory, reasoning, and moral judgment to machines. The discussion explores the phenomenon of Agency Decay, where reliance on frictionless AI erodes independence, and Moral Outsourcing, where ethical judgment becomes automated. Much like how GPS dulled our sense of direction, personal AGI could dull our capacity for critical thought and self-determination.
The episode concludes with a call to action: redesign AGI systems to include intentional friction, reimagine education to strengthen metacognition and curiosity, and develop new governance models that ensure user sovereignty over cognitive data — before convenience quietly becomes control.
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!