World Model · podcast knowledge graph

How we regulate AI could decide the next century

2025-11-12 · 35 min · 6 entities

Asserted relationships

  • → hosted by Reid Hoffman person
    0.55
    evidence rules-v5
    Feed author/publisher: Reid Hoffman
  • → discusses Society & Culture concept
    0.40
    evidence rules-v5
    Feed category: Society & Culture
  • → discusses Technology company
    0.40
    evidence rules-v5
    Feed category: Technology

Entities found in this episode

persons 2

  • mentioned Reid Hoffman person
    0.70
    evidence rules-v5
    Feed author/publisher: Reid Hoffman
  • hosted by Reid Hoffman person
    0.55
    evidence rules-v5
    Feed author/publisher: Reid Hoffman

concepts 2

  • mentioned Society & Culture concept
    0.50
    evidence rules-v5
    Feed category: Society & Culture
  • discusses Society & Culture concept
    0.40
    evidence rules-v5
    Feed category: Society & Culture

companys 2

  • mentioned Technology company
    0.50
    evidence rules-v5
    Feed category: Technology
  • discusses Technology company
    0.40
    evidence rules-v5
    Feed category: Technology
Episode description as stored
In this episode of Possible, Reid Hoffman and Aria Finger explore how AI is colliding with real-world regulation, responsibility, and even civility. As states like Utah, California, and Illinois roll out new AI laws governing everything from chatbot disclosure to bans on AI-driven therapy, Reid breaks down the logic that’s driving these policies. The conversation dives into OpenAI’s self-imposed limits on medical, legal, and financial advice, the challenge of providing access while managing liability, and why safe harbor laws could unlock life-saving potential for AI. From there, the discussion zooms out to the global stage, where China is pushing for an international AI governance body and the U.S. risks losing moral and technical leadership. Finally, Aria and Reid end on a human behavior note: a study showing AI performs better when users are rude. What does that say about how we train these models? But mostly, what does it reveal about us? From transparency to civility, what kind of intelligence do we really want to build? For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/