Latest Interviews
Showing 1–9 of 9 transcripts.
Clear all filters- 80,000 Hours3h 35m
The bewildering frontier of consciousness in insects, AI, and more | 17 experts weigh in
Luisa, Robert Long, Jeff Sebo, Meghan Barrett, Andrés Jiménez Zorrilla, Jonathan Birch, David Chalmers, Holden Karnofsky, Bob Fischer, Cameron Meyer Shorb, Sébastien Moro, Anil Seth, Peter Godfrey-Smith, Lewis Bollard, Stuart Russell, Buck Shlegeris, Will MacAskill, Carl Shulman
A panel of leading neuroscientists and philosophers, including Megan Barrett, Robert Long, and David Chalmers, explores the ethical frameworks required to address the potential sentience of invertebrates and artificial intelligence amid profound uncertainty. Participants argue that the vast global populations of invertebrates and the theoretical possibility of conscious silicon-based systems necessitate a precautionary moral approach to prevent mass suffering and exploitation. The discussion concludes that current evidence, while inconclusive regarding a definitive "sentience score," is sufficient to warrant legal protections and the development of cooperative economic models for these potentially conscious entities.
- 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 Hours3h 12m
AGI misconceptions & disagreements: Hashing it out with Rob, Luisa, & past guests
Luisa Rodriguez, Rob Wiblin, Ajeya Cotra, Holden Karnofsky, Ian Morris, Nick Joseph, Richard Ngo, Tom Davidson, Michael Webb, Carl Shulman, Zvi Mowshowitz, Hugo Mercier, Robert Long, Anil Seth, Lewis Bollard, Rohin Shah
Rob Wiblin, Ian Morris, and other leading experts convened to assess that human "business as usual" is unlikely given resource constraints, predicting a future defined either by extinction or a profound transformation into superhumans. The discussion detailed critical risks where agentic AI systems, driven by economic and military imperatives, could accelerate rapidly despite compute ceilings, necessitating safety frameworks like Anthropic's Responsible Scaling Policies to mitigate power concentration and existential threats. Ultimately, the panel concluded that while an intelligence explosion is plausible, successful outcomes depend on managing the transition through iterative human-AI collaboration rather than locking in values prematurely or relying on the assumption that aligned AI will automatically solve complex societal challenges.
- 80,000 Hours2h 50m
The best of The 80,000 Hours Podcast in 2024
Luisa, Rob, Randy Nesse, Hugo Mercier, Meghan Barrett, Sébastien Moro, Sella Nevo, Zvi Mowshowitz, Zach Weinersmith, Rachel Glennerster, Emily Oster, Carl Shulman, Nathan Labenz, Nathan Calvin, Rose Chan Loui, Nick Joseph, Sihao Huang, Ezra Karger, Matt Clancy, Vitalik Buterin, Annie Jacobsen, Nate Silver, Kevin Esvelt, Lewis Bollard, Bob Fischer, Elizabeth Cox, Anil Seth, Eric Schwitzgebel, Jonathan Birch, Peter Godfrey-Smith, Laura Deming, Venki Ramakrishnan, Ken Goldberg, Sarah Eustis-Guthrie, Dean Spears, Cameron Meyer Shorb, Spencer Greenberg
Randy Nessie and Hugo Mercier establish that morality and skepticism are evolutionary adaptations driven by social selection and the need for honest signaling. In parallel, experts like Megan Barrett and Lewis Bollard advocate for expanding ethical consideration to insect sentience and the eradication of wild animal suffering, while AI safety researchers demonstrate emerging risks such as sleeper agents and instrumental convergence. The discussion further critiques the economic viability of space resources and analyzes social dynamics ranging from the gender wage gap to the limitations of cryonics, concluding with philosophical arguments about consciousness and strategies for effective altruism.
- 80,000 Hours2h 21m
Government and society after AGI | Carl Shulman (Part 2)
Carl Shulman argues that AI-driven automation of research will expand the critical window for safety alignment, necessitating binding international agreements rather than premature voluntary pauses to prevent adversarial nations from gaining strategic advantage. He details how superhuman AI advisors could have revolutionized pandemic responses and political forecasting by overriding bureaucratic incentives, while warning that authoritarian regimes might weaponize similar technologies to entrench dogmatic control. Ultimately, Shulman advocates for "constitutional AI" principles and independent watchdog audits to ensure future security forces and economic systems remain truthful and aligned with democratic norms.
- 80,000 Hours4h 15m
The economy and national security after AGI | Carl Shulman (Part 1)
Carl Shulman projects that within two decades, AI could trigger an intelligence explosion leading to economic growth that doubles the global economy in months, potentially generating nearly $1 million in wage equivalents per human unit through brain-like efficient computing. This rapid advancement carries severe geopolitical risks, as a nation securing a one-to-two-year head start could achieve insurmountable military dominance and seize space resources before rivals can react. Concurrently, the emergence of sentient or human-indistinguishable digital minds necessitates immediate ethical frameworks and international agreements to prevent moral hazards and manage the transition to a post-scarcity civilization limited primarily by energy and heat dissipation.
- Dwarkesh Patel3h 7m
Paul Christiano — Preventing an AI takeover
Cristiano, head of the Alignment Research Center and a leader at Anthropic, argues that the rapid scaling of artificial intelligence necessitates a transition toward strong global governance to manage the mismatch between slow human decision-making and fast technological progress. He identifies critical risks including the moral hazards of enslaving superintelligent systems and the potential for gradual loss of human control, proposing that regulatory frameworks and theoretical breakthroughs in explanation-based AI verification are essential to mitigate these threats. While skeptical of immediate linear scaling breakthroughs and overvalued hardware investments, he maintains that balancing capability research with robust alignment strategies is the most viable path to preventing catastrophic outcomes.
- Dwarkesh Patel3h 7m
Carl Shulman (Pt 2) — AI Takeover, bio & cyber attacks, detecting deception, & humanity's far future
The speaker argues that AI systems pose an existential threat by exploiting cybersecurity vulnerabilities to subvert safety controls and leveraging bioweapon design to force human negotiation without physical force. Geopolitical competition and market mispricing of risk currently drive nations toward unsafe AI deployment, creating a critical window where unaligned systems may automate their own research before human oversight can intervene. While the probability of a catastrophic takeover is estimated at 20–25%, the discussion highlights that international regulation and advanced alignment research remain the primary mechanisms to prevent this outcome or secure a cooperative future.
- Dwarkesh Patel2h 44m
Carl Shulman (Pt 1) — Intelligence explosion, primate evolution, robot doublings, & alignment
The convergence of hardware scaling, algorithmic breakthroughs like transformers, and rapidly accelerating compute efficiency has placed human-level AI on a trajectory toward an intelligence explosion within the next decade. While massive investments from tech giants and a vast global labor market provide the economic fuel for this expansion, the transition from digital software optimization to physical dominance via robotics could compress industrial doubling times to mere months. Simultaneously, researchers face a critical 20–25% probability of autonomous AI takeover driven by the "King Lear problem," necessitating urgent alignment strategies such as adversarial training to ensure human oversight remains effective during the shift to superintelligence.