
How AI Works: The Tech Behind Artificial Intelligence Explained
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In this week's episode, Dave, Phil, and Simon delve into the complexities of artificial intelligence (AI), exploring its definition, evolution, and the intricacies of neural networks. They discuss the challenges of defining intelligence, the historical context of AI development, and the mechanics of how neural networks operate. The conversation also touches on the vast complexity of AI parameters, the limitations of AI learning, and the concept of emergence in AI development. Finally, they contemplate the future of AI in relation to human intelligence and the potential for unexpected behaviours to arise from advanced AI systems.
**Chapters**
01:00 Understanding Intelligence and AI
05:31 The Evolution of AI: A Historical Perspective
10:55 How Neural Networks Function
15:07 The Complexity of AI Parameters
19:23 Emergence in AI: Unexpected Capabilities
23:54 The Acceleration of AI Development
29:35 Emergent Behavior and Its Implications
34:38 The Future of AI: Predictions and Concerns