Artwork

385: AI Snake Oil

Tech Policy Podcast

22 subscribers

published

iconShare
 
Manage episode 441427012 series 2533159
Content provided by TechFreedom. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by TechFreedom or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Sayash Kapoor (Princeton) discusses the incoherence of precise p(doom) predictions and the pervasiveness of AI “snake oil.” Check out his and Arvind Narayanan’s new book, AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference.

Topics include:

  • What’s a prediction, really?
  • p(doom): your guess is as good as anyone’s
  • Freakishly chaotic creatures (us, that is)
  • AI can’t predict the impact of AI
  • Gaming AI with invisible ink
  • Life is luck—let’s act like it
  • Superintelligence (us, that is)
  • The bitter lesson
  • AI danger: sweat the small stuff

Links:

AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference

AI Existential Risk Probabilities Are Too Unreliable to Inform Policy

AI Snake Oil (Substack)

  continue reading

431 episodes