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 ofA Beginner’s Guide to AI, we explore the great debate betweennativism 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, fromAlphaZero teaching itself to play chess toGPT-4 mimicking human language without actually understanding it. And, of course, we usecake to make it all crystal clear.

Tune in to get my thoughts, and don’t forget tosubscribe to our Newsletter atargoberlin.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.

Why AI Needs a Million Cat Photos and You Don’t 15:25 Share

A Beginner's Guide to AI

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Why AI Needs a Million Cat Photos and You Don’t