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Nathan Labenz – The Dark Side of the AI Future

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Manage episode 425552704 series 3471117
Inhalt bereitgestellt von Nick Halaris. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Nick Halaris oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

This week on The Nick Halaris Show we are featuring Nathan Labenz, a founder of Waymark, a company using AI to help businesses easily make compelling marketing videos, and the host of a very popular AI-focused podcast called Cognitive Revolution. As you all know by now, Nathan is a gifted thinker and communicator, the world’s best AI scout, and one of the most sought-after voices and thought leaders in the industry.

In part one of this interview, which dropped last week, we learned about the incredible positive potential of AI technology. Nathan shared with us a compelling vision for a future with less drudgery and suffering and vastly greater and more widespread material prosperity. This week we examine the other side of the coin and ask what could go wrong here. Tune in to this fascinating and sobering episode to learn:

  • Why Nathan and many other AI scientists believe we shouldn’t underestimate the potential dangers of AI
  • The theoretical basis behind the fears that AI systems might develop their own ideas, optimize against humans, or deceive us for their own benefit
  • Why Nathan thinks we would be better off focusing on implementing AI in its current state across our economy than racing to develop ever more powerful systems
  • Why we need to give time and resources for scientists to catch -up and understand how these systems are actually working
  • How close we might be to Artificial General Intelligence
  • Why the stakes couldn’t be higher in our race with China to develop the best, most useful AI and how that’s problematic in the context of our AI safety concerns
  • & Much, much more

Stay tuned to the end to learn Nathan’s compelling ideas for establishing a better path for our economic relations with China and hear his vision for a global AI governance structure.

As always, I hope you all enjoy this episode. Thanks for tuning in!

Love this episode? Please rate, subscribe, and review on your favorite podcast platform to help more users find our show. 🙏 Thank you

  continue reading

66 Episoden

Artwork
iconTeilen
 
Manage episode 425552704 series 3471117
Inhalt bereitgestellt von Nick Halaris. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Nick Halaris oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

This week on The Nick Halaris Show we are featuring Nathan Labenz, a founder of Waymark, a company using AI to help businesses easily make compelling marketing videos, and the host of a very popular AI-focused podcast called Cognitive Revolution. As you all know by now, Nathan is a gifted thinker and communicator, the world’s best AI scout, and one of the most sought-after voices and thought leaders in the industry.

In part one of this interview, which dropped last week, we learned about the incredible positive potential of AI technology. Nathan shared with us a compelling vision for a future with less drudgery and suffering and vastly greater and more widespread material prosperity. This week we examine the other side of the coin and ask what could go wrong here. Tune in to this fascinating and sobering episode to learn:

  • Why Nathan and many other AI scientists believe we shouldn’t underestimate the potential dangers of AI
  • The theoretical basis behind the fears that AI systems might develop their own ideas, optimize against humans, or deceive us for their own benefit
  • Why Nathan thinks we would be better off focusing on implementing AI in its current state across our economy than racing to develop ever more powerful systems
  • Why we need to give time and resources for scientists to catch -up and understand how these systems are actually working
  • How close we might be to Artificial General Intelligence
  • Why the stakes couldn’t be higher in our race with China to develop the best, most useful AI and how that’s problematic in the context of our AI safety concerns
  • & Much, much more

Stay tuned to the end to learn Nathan’s compelling ideas for establishing a better path for our economic relations with China and hear his vision for a global AI governance structure.

As always, I hope you all enjoy this episode. Thanks for tuning in!

Love this episode? Please rate, subscribe, and review on your favorite podcast platform to help more users find our show. 🙏 Thank you

  continue reading

66 Episoden

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