Chapter
AGI and the Future of Humanity
38:02 - 53:05 (15:03)
The topic of AGI, or artificial general intelligence, is the focus of this podcast episode as the hosts discuss the potential impact on humanity and the legacy of the term. One of the hosts discovered that AGI was not a term coined by himself or his co-host, and they delve into the history of AGI research.
Clips
The idea of the withering away of the state was a Marxist belief that as society moved from capitalism to communism, people would become more socially minded and a state gradually becomes unnecessary.
38:02 - 41:25 (03:22)
Summary
The idea of the withering away of the state was a Marxist belief that as society moved from capitalism to communism, people would become more socially minded and a state gradually becomes unnecessary. However, material abundance is a subjective perception, and many cultures in the past perceived themselves living in great material abundance despite not having the technology we enjoy today.
ChapterAGI and the Future of Humanity
Episode#103 – Ben Goertzel: Artificial General Intelligence
PodcastLex Fridman Podcast
The speaker discusses the potential challenges faced by a Mars colony dependent on Earth for supplies, and the relative importance of inventing new technologies like quantum computing versus pursuing space colonization.
41:25 - 47:52 (06:27)
Summary
The speaker discusses the potential challenges faced by a Mars colony dependent on Earth for supplies, and the relative importance of inventing new technologies like quantum computing versus pursuing space colonization.
ChapterAGI and the Future of Humanity
Episode#103 – Ben Goertzel: Artificial General Intelligence
PodcastLex Fridman Podcast
The term AGI, or Artificial General Intelligence, was developed by various individuals in the late 1990s including Shane Legge and Peter Vos, but was potentially first published by Mark Gubrid in 1997.
47:52 - 53:05 (05:13)
Summary
The term AGI, or Artificial General Intelligence, was developed by various individuals in the late 1990s including Shane Legge and Peter Vos, but was potentially first published by Mark Gubrid in 1997. The ultimate goal was to gather serious academic papers discussing the creation of thinking machines that could match or surpass human intelligence.