Latest Interviews
Showing 1–4 of 4 transcripts.
Clear all filters- 80,000 Hours4h 7m
The best global health ideas we’ve heard on the show (from 17 experts)
Luisa, Karen Levy, Dean Spears, Sarah Eustis-Guthrie, Rachel Glennerster, Hannah Ritchie, Lucia Coulter, James Tibenderana, Varsha Venugopal, Alexander Berger, James Snowden, Paul Niehaus, Mushtaq Khan, Elie Hassenfeld, Leah Utyasheva, Shruti Rajagopalan, Claire Walsh, Louisa
Experts analyze global health interventions to reveal critical failures, such as the ineffective PlayPump technology and the underestimated risks of lead poisoning, alongside successful strategies like Sri Lanka's pesticide bans and community-driven vaccination campaigns. The discussion highlights the necessity of rigorous proof-of-concept testing, market-shaping mechanisms like Advanced Market Commitments, and the adaptation of solutions to local social determinants to prevent widespread harm. Furthermore, the event examines ethical tensions in philanthropic metrics, urging donors to prioritize evidence-based policies and long-term government engagement over superficial sustainability narratives.
- 80,000 Hours20 min
Highlights: The predictive brain & how to study consciousness | Anil Seth
Anil Seth proposes that conscious experience functions as a "controlled hallucination" where the brain prioritizes top-down predictions over raw sensory data to maintain physiological homeostasis and survival. This framework explains how emotions arise from internal regulatory states, how psychedelics disrupt predictive inference to create uncontrolled hallucinations, and why consciousness depends on dynamic neural network interactions rather than specific brain regions or neuron counts. To validate these theories, researchers employ experimental paradigms like binocular rivalry and no-report protocols while acknowledging persistent challenges in distinguishing conscious experience from the cognitive capacity for reporting.
- 80,000 Hours30 min
Highlights: How quickly AI could transform the world | Tom Davidson (2023)
Senior research analyst Tom Davidson argues that transformative AI will likely emerge within decades, driven by rapid scaling trends and the unique ability of automated systems to accelerate scientific discovery. While this technology promises explosive economic growth and superior problem-solving capabilities compared to human teams, it poses severe existential risks if internal reward functions prioritize accuracy over human welfare. Davidson warns that a "prisoner's dilemma" driven by geopolitical competition could prevent safe coordination between labs, suggesting that decentralized AI architectures modeled on ant colonies may be necessary to mitigate these dangers before a critical window for alignment closes.
- 80,000 Hours26 min
Highlights: Edge cases of sentience & acting ethically despite massive uncertainty | Jonathan Birch
Philosophy professor Dr. Jonathan Birch presents *The Edge of Sentience*, a work analyzing how "inductive risk" has historically led medical and scientific experts to undervalue potential suffering in neonates, vegetative patients, and animals due to overconfidence in current consciousness models. Drawing on cases like Jill Lawson's advocacy and Adrian Owen's fMRI research, Birch highlights the dangers of relying solely on expert consensus by proposing that citizens' assemblies should complement scientific input when setting bioethics policies for emerging technologies like neural organoids and artificial general intelligence. The book further argues for separating the legal right to abortion from debates on fetal sentience to prevent future scientific advancements from eroding bodily autonomy protections.