Episode #940
Sam Harris & Dan Harris
Books mentioned
Superintelligence
Mentioned by Sam Harris & Dan Harris · at 00:32:00
Amazon (opens in a new tab; affiliate link) Source: Transcript (podscripts.co)
Bhagavad Gita
Mentioned by Joe Rogan (host) · at 00:44:08
Amazon (opens in a new tab; affiliate link) Source: Transcript (podscripts.co)
The End of Faith
Mentioned by Official episode description
Amazon (opens in a new tab; affiliate link) Source: Official episode description (podcast RSS)
Letter to a Christian Nation
Mentioned by Official episode description
Amazon (opens in a new tab; affiliate link) Source: Official episode description (podcast RSS)
The Moral Landscape
Mentioned by Official episode description
Amazon (opens in a new tab; affiliate link) Source: Official episode description (podcast RSS)
10% Happier
Mentioned by Official episode description
Amazon (opens in a new tab; affiliate link) Source: Official episode description (podcast RSS)
Timestamps are segment start times from the podscripts.co transcript of the audio release (includes ad reads), so they may differ from the video by a few minutes.
Neuroscientist and author Sam Harris joins ABC correspondent Dan Harris to discuss addiction, mental health, and Dan’s transition away from the adrenaline of war reporting. They examine advanced artificial intelligence, automation, inequality, media trust, political polarization, misinformation, and the 2016 election. The conversation also explores meditation, mindfulness, psychedelics, sensory-deprivation tanks, and how practices that alter awareness can reduce suffering.
What they talked about
- Dan Harris's on-air panic attack in 2004
- The pleasure and excitement of combat
- Limits of antidepressants and targeted brain interventions
- Risks of AI and self-improving machines
- AI's impact on employment and universal basic income
- Meditation as a way to observe thoughts
- Trump's effect on truth and political discourse
- The value of mindfulness in daily life
Data last updated · Report a mistake · How it works: mentions are pulled from public transcripts and episode descriptions, partly with AI-assisted extraction, so details and timestamps can be off.