Today's Top Episodes
How Humans Will Earn in the AI Economy with Jordan Gray from Public AI
Will AI steal your job or create new opportunities? Discover how humans will thrive in the evolving AI economy.
Introducing: The Mishal Husain Show
Go beyond the headlines with Mishal Husain as she uncovers the ideas shaping our world, featuring exclusive interviews with global power players.
A Tiny Plot to Call Home
Discover how tiny homes are making a huge difference, offering hope and a fresh start for homeless veterans.
How to measure AI developer productivity in 2025 | Nicole Forsgren
Are your developer productivity metrics outdated? Learn how to accurately measure and boost your team's performance in the AI era.
Version History: Sony Watchman
Remember the Sony Watchman? Take a trip down memory lane and rediscover the iconic personal TV that changed how we watched on the go.
#999 - 21 Lessons from 999 Episodes - Naval Ravikant, Roger Federer & Vincent van Gogh
- Podcast host reflects on reaching episode 999, and the upcoming milestone 1000th episode with Matthew McConaughey.
- The host discusses the importance of finding joy in simple pleasures, and avoiding the "shame" people may sometimes feel when feeling joy for something small or insignificant.
- A core theme revolves around the "Cassandra Complex," exploring the frustration and disincentives of being right but early on important issues, particularly demographic decline and climate change responses.
#980 - David Pinsof - This is Your Brain on Bullsh*t
- The pursuit of happiness as motivation is misguided; instead, human behavior is driven by incentives rooted in our evolutionary history that correlated with biological fitness.
- Opinions function as social norm campaigns where individuals seek to elevate the status of those who share their preferences while diminishing those who do not, concealing their self-interested motivations to maintain social standing.
- Deepities are linguistic constructs that exploit the tension between bold, mind-blowing interpretations and banal, obvious truths, allowing individuals to appear profound while minimizing the risk of genuine insight or challenging existing beliefs.
#979 - Dwarkesh Patel - AI Safety, The China Problem, LLMs & Job Displacement
- Moravec's paradox highlights how AI struggles with tasks that are easy for humans, like physical movement and robotics, which evolution has optimized for billions of years whereas humans haven't needed to optimize processes like adding long numbers in comparison.
- LLMs have shown surprising capabilities, but a key limitation is their inability to continually learn and build context from experience, making them less effective than humans in many work-related tasks.
- While China's AI development is impressive, it also presents the risk of perfecting authoritarian governance through enhanced surveillance, censorship, and control over people's behavior via AI alignment with predetermined ideological parameters that are determined by the Chinese Communist Party.