The Evolution of AI: From Deep Blue to AlphaGo to Chat GPT

The podcast episode discusses the evolution of AI, starting with Deep Blue, a chess-playing AI that was designed to mimic human chess knowledge. It then delves into AlphaGo, an AI that learned to play the complex game of Go through trial and error, using artificial neural networks. The episode explores how the abilities of AI systems like Chat GPT have become more sophisticated and unpredictable. It highlights the challenges in understanding and explaining the inner workings of such AI systems, as they can make moves and generate language that researchers can't fully explain or anticipate. The episode raises important questions about the potential risks and liabilities of deploying powerful AI systems without a complete understanding of how they work.