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Jevons’ AI Paradox: Why Cheaper Models Raise Energy Demand

⚡ AI is getting cheaper, faster, and more efficient. So why are data centres preparing to use far more electricity? In this episode of A Beginner’s Guide to AI, Professor GePhardT explores Jevons’ paradox and its uncomfortable lesson for artificial intelligence: using less energy per task does not â€Ļ

Why Your Brain Needs to Go to the Gym in the Age of AI - DIETMARs OPINION

Dietmar Fischer explores cognitive offloading, critical thinking, and why learning must remain mentally demanding when AI can provide instant answers. 🧠 What happens when AI solves every problem before you have had time to think? AI can make us faster and more productive. But if we use it to avoid â€Ļ

Mate, Why Are You Talking to a Rubber Duck?! AI as a Thinking Partner

đŸĻ† What if the most useful part of an AI conversation is something you say? Rubber duck debugging began with programmers explaining their code to a plastic duck. In this episode of Beginner’s Guide to AI, discover how the same approach can help you use AI as a thinking partner for difficult emails, â€Ļ

AI at School: Why Students Still Need to Struggle - Jonathan Strecker

🤖 AI in education can deliver answers and feedback almost instantly, but does faster performance always produce better learning? Dr. Jonathan Strecker, Head of School at Valley School of Ligonier and author of Emergence, joins Dietmar Fischer to examine what happens when artificial intelligence remâ€Ļ
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