Ken Goldberg
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- 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 2m
Why your robot butler isn't here yet | Ken Goldberg
Experts caution against a potential robotics bubble driven by hype, emphasizing that fundamental physical challenges like high-dimensional manipulation and unmodeled friction require decades of advancement beyond current deep learning capabilities. Despite significant hurdles in hardware cost, perception, and fault tolerance, the technology is already delivering value in logistics, agriculture, and surgical assistance while avoiding mass unemployment by addressing labor shortages rather than replacing human nuance. Future progress will likely depend on overcoming Moravec's Paradox through multimodal learning and accepting that general-purpose humanoid robots remain a distant goal compared to the immediate utility of specialized systems like drones and parallel grippers.