Summary
In this episode of the StarTalk podcast, Neil deGrasse Tyson and Chuck Nice are joined by mathematician Hannah Fry to discuss algorithms and data. They cover a wide range of topics, including the use of inputs to create predictive algorithms for events such as lightning strikes or ocean currents. The hosts also touch on difficult math problems such as the P versus non-P problem and the Four Color Map problem, which have implications for understanding the universe and creating algorithms to solve complex problems. The conversation also explores the difference between algorithms and artificial intelligence, as well as the potential future of predictive analytics in areas such as biological data and even thought police.
The hosts and guest also discuss the importance of understanding algorithms and the potential consequences of relying too heavily on them. They touch on a case in Chicago where an algorithm was used to predict gun crime involvement but ended up being used as a harassment list. They also share a story about a project where data on thousands of children was released, and people tried to use AI to predict their future outcomes, but the most basic method of linear regression ended up being the most accurate.
The conversation is informative and entertaining, with some humorous moments. The hosts and guest also discuss Hanna's BBC radio show, "The Curious Cases of Rutherford and Frey," where they investigate questions sent in by listeners, including a question from an eight-year-old about the tiniest dinosaur. Overall, the episode provides interesting insights into the world of algorithms and data.
