Roman Yampolskiy on Objections to AI Safety
Roman Yampolskiy joins the podcast to discuss various objections to AI safety, impossibility results for AI, and how much risk civilization should accept from emerging technologies.
View episodeExistential Risk
Examines threats that could permanently curtail humanity's potential or cause human extinction. Includes nuclear warfare, engineered pandemics, climate catastrophe, unaligned AI, and other global catastrophic risks that threaten civilization's long-term survival.
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Nathan Labenz on How AI Will Transform the Economy
Nathan Labenz joins the podcast to discuss the economic effects of AI on growth, productivity, and employment.
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Nathan Labenz on the Cognitive Revolution, Red Teaming GPT-4, and Potential Dangers of AI
Nathan Labenz joins the podcast to discuss the cognitive revolution, his experience red teaming GPT-4, and the potential near-term dangers of AI.
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Connor Leahy on the State of AI and Alignment Research
Connor Leahy joins the podcast to discuss the state of the AI.
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Connor Leahy on AGI and Cognitive Emulation
Connor Leahy joins the podcast to discuss GPT-4, magic, cognitive emulation, demand for human-like AI, and aligning superintelligence.
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Lennart Heim on the AI Triad: Compute, Data, and Algorithms
Lennart Heim joins the podcast to discuss how we can forecast AI progress by researching AI hardware.
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Liv Boeree on Poker, GPT-4, and the Future of AI
Liv Boeree joins the podcast to discuss poker, GPT-4, human-AI interaction, whether this is the most important century, and building a dataset of human wisdom.
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Tobias Baumann on Space Colonization and Cooperative Artificial Intelligence
Tobias Baumann joins the podcast to discuss suffering risks, space colonization, and cooperative artificial intelligence.
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Tobias Baumann on Artificial Sentience and Reducing the Risk of Astronomical Suffering
Tobias Baumann joins the podcast to discuss suffering risks, artificial sentience, and the problem of knowing which actions reduce suffering in the long-term future.
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Neel Nanda on Avoiding an AI Catastrophe with Mechanistic Interpretability
Neel Nanda joins the podcast to talk about mechanistic interpretability and how it can make AI safer.
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Neel Nanda on What is Going on Inside Neural Networks
Neel Nanda joins the podcast to explain how we can understand neural networks using mechanistic interpretability.
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Connor Leahy on AI Safety and Why the World is Fragile
Connor Leahy from Conjecture joins the podcast to discuss AI safety, the fragility of the world, slowing down AI development, regulating AI, and the optimal funding model for AI safety research.
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