Why AI Needs a Million Cat Photos and You Don’t // THIS IS THE RIGHT AUDIO!!!

SORRY, UPLOADED THE WRONG AUDIO FILE, NOT THE NATIVISM ONE - BUT NOW IT'S THE RIGHT ONE!!! Is intelligence something we’re born with, or do we learn everything from scratch? That’s not just a question for philosophers—it’s at the core of artificial intelligence today. In this episode of A Beginner’s Guide to AI , we explore the great debate between nativism and deep learning . Nativism suggests that some knowledge is built-in, like the way babies instinctively pick up language. Deep learning, on the other hand, argues that intelligence comes purely from experience—AI models don’t start with any understanding; they learn everything from massive amounts of data. We break down how this plays out in real AI systems, from AlphaZero teaching itself to play chess to GPT-4 mimicking human language without actually understanding it. And, of course, we use cake to make it all crystal clear. Tune in to get my thoughts, and don’t forget to subscribe to our Newsletter at argoberlin.com/newsletter ! Want to get in contact? Write me an email: podcast@argo.berlin This podcast was generated with the help of ChatGPT, Mistral, and Claude 3. We do fact-check with human eyes, but there still might be hallucinations in the output. And, by the way, it’s read by an AI voice. Music credit: "Modern Situations" by Unicorn Heads.