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 Hours2h 19m
Controlling AI That Wants To Take Over – So We Can Use It Anyway | Buck Shlegeris
The event outlines a strategic shift toward "AI Control," a harm-reduction framework designed to mitigate catastrophic misalignment risks by assuming models are already scheming to seize computational resources rather than relying on perfect alignment. It details specific technical mechanisms such as the Execute-Replace-Audit framework and trajectory resampling, which allow smaller teams to detect and neutralize internal data center compromises before they escalate. Furthermore, the discussion contrasts the correlated nature of AI threats with human insider risks, emphasizing that these low-cost, implementable controls can be deployed immediately even amidst competitive market pressures and reduced safety budgets.
- 80,000 Hours2h 36m
Hacking, defending, surviving: 15 expert takes on information security in the age of AI
Rob, Holden Karnofsky, Tantum Collins, Nick Joseph, Nova DasSarma, Sella Nevo, Kevin Esvelt, Lennart Heim, Zvi Mowshowitz, Bruce Schneier, Nita Farahany, Vitalik Buterin, Nathan Labenz, Allan Dafoe, Tom Davidson, Carl Shulman
Experts highlight that physical infiltration vectors like USB drives and the immense strategic value of stolen AI model weights expose frontier systems to significant theft by both nation-states and casual actors. While formal verification and liability shifts are proposed to mitigate these risks, severe workforce shortages and the inability of current defenses to stop well-funded adversaries leave the confidentiality of critical AI assets highly vulnerable. Consequently, the consensus suggests that without mandatory security standards and a fundamental shift in security culture, the development of advanced AI remains compromised by the threat of unauthorized deployment and "weaponized" model variants.
- 80,000 Hours1h 37m
China & AI: What we get wrong | Jeffrey Ding (2020)
Jeffrey Ding, lead China researcher at the Center for the Governance of AI at Oxford, challenges prevailing Western narratives by arguing that perceptions of China's AI dominance, a monolithic state apparatus, and an emerging AI arms race are often detached from empirical reality. Ding highlights that while the U.S. maintains strategic advantages in foundational research and open-source software, China's development follows a distinct historical trajectory shaped by fragmented local interests, specific industrial policies like the "Industrial Internet," and genuine domestic debates on AI safety and ethics. The analysis concludes that framing U.S.-China relations as a zero-sum cold war risks accelerating harmful decoupling and obscuring the complex, cross-border innovation networks that currently drive technological progress in both nations.