Listen "The Chronicle of AI: From Myth to Machine Learning"
Episode Synopsis
The provided episode offers a comprehensive overview of the history of artificial intelligence (AI), tracing its conceptual roots from ancient myths and philosophical discussions about formal reasoning to the invention of modern computers. The episode extensively documents the birth of AI as an academic discipline at the 1956 Dartmouth Workshop, followed by periods of early successes and immense optimism that were repeatedly undercut by two periods referred to as "AI winters" due to funding cuts and unmet expectations. The history further details significant breakthroughs, such as the rise of expert systems in the 1980s, the revival of neural networks, and the modern era defined by big data, deep learning, and large language models (LLMs), noting the exponential increase in investment and the emergence of concerns about AI alignment and ethical implications. Finally, it summarizes recent milestones, including Nobel Prizes awarded for AI-related work and evolving national policies in countries like China and the United States.
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