Anil Seth
Showing 1–4 of 4 transcripts.
- 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 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 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.