AI 101 · Technology
A.I. 101, in its first season, features How Do AIs Actually Learn?
· 7 min 27 sec · Hosted by Daniel Lucas
Episode description and notes
A fascinating exploration into the processes that allow artificial intelligence to learn from data, recognize complex patterns, make predictions, and improve its performance over time. The episode breaks down concepts such as machine learning, neural networks, model training, feedback, and the role of massive datasets in shaping AI systems. It also examines an important distinction: AI does not learn or understand the world exactly as humans do, but instead identifies statistical relationships and patterns within the information used to train it. From recommendation systems and image recognition to chatbots and generative AI, this episode offers an accessible look inside the technology that is rapidly transforming how we work, communicate, create, and solve problems.
Transcript and source
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