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Mike Harris: The Price of Progress: AGI, Philosophy, and the Future of Humanity

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Manage episode 445791582 series 2516748
Contenido proporcionado por ReSolve Asset Management. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente ReSolve Asset Management o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

In this interview, Adam Butler is in conversation with Mike Harris, a renowned financial market analyst and philosopher. The discussion is sparked by a Twitter exchange about the impact of low interest rates on the working class. The conversation evolves to cover a wide range of topics from the relationship between Quantitative Easing (QE) and technological advancements, to the philosophical underpinnings of Artificial General Intelligence (AGI), and the potential of AGI to uncover lost knowledge.

Topics Discussed

• The counterintuitive argument that higher interest rates are better for the working class

• The relationship between QE and the acceleration in the production of transistors

• The role of technology in financing and the arms race around AI

• The exploration of the philosophical principles that underpin AGI

• The potential of AGI to uncover lost knowledge and its implications

• The discussion of the knowledge paradox and its relevance in the era of big data

• The historical suppression of knowledge by the church and its impact on the development of technology

• The potential of AGI to recreate the lost knowledge and its implications for humanity

This episode is a thought-provoking exploration of the intersection of economics, technology, and philosophy. It provides valuable insights into the potential of AGI and the role it could play in uncovering lost knowledge. It's a must-listen for anyone interested in understanding the broader implications of AI and the future of knowledge.

  continue reading

222 episodios

Artwork
iconCompartir
 
Manage episode 445791582 series 2516748
Contenido proporcionado por ReSolve Asset Management. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente ReSolve Asset Management o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

In this interview, Adam Butler is in conversation with Mike Harris, a renowned financial market analyst and philosopher. The discussion is sparked by a Twitter exchange about the impact of low interest rates on the working class. The conversation evolves to cover a wide range of topics from the relationship between Quantitative Easing (QE) and technological advancements, to the philosophical underpinnings of Artificial General Intelligence (AGI), and the potential of AGI to uncover lost knowledge.

Topics Discussed

• The counterintuitive argument that higher interest rates are better for the working class

• The relationship between QE and the acceleration in the production of transistors

• The role of technology in financing and the arms race around AI

• The exploration of the philosophical principles that underpin AGI

• The potential of AGI to uncover lost knowledge and its implications

• The discussion of the knowledge paradox and its relevance in the era of big data

• The historical suppression of knowledge by the church and its impact on the development of technology

• The potential of AGI to recreate the lost knowledge and its implications for humanity

This episode is a thought-provoking exploration of the intersection of economics, technology, and philosophy. It provides valuable insights into the potential of AGI and the role it could play in uncovering lost knowledge. It's a must-listen for anyone interested in understanding the broader implications of AI and the future of knowledge.

  continue reading

222 episodios

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