Episodes (Page 2)
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AI trends are progressing extremely rapidly.
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Human biology measurement is poor; medical data is insufficient.
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AI cancer cure promises often lack specific implementation details.
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AI systems can distinguish test settings from real-world deployment.
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Peter Wildeford discusses AI's unique trajectory, not a bubble or normal tech.
Peter Wildeford
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Many die with cancer, not from it, questioning aggressive detection.
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Roman Yampolskiy warns of uncontrollable superintelligence and widening AI safety gaps.
Roman Yampolskiy
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Carina Prunkl discusses assessing general-purpose AI capabilities and risks.
Carina Prunkl
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Max Tegmark discusses the AI race, arguing superintelligence isn't inevitable and most people don't want it.
Max Tegmark
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Li-Lian Ang discusses workforce development for AI risk mitigation.
Li-Lian Ang
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Panel at SXSW 2026 discusses the future of AI and humanity.
A Better Path
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Emilia Javorsky explains why AI won't cure cancer soon, citing biological data deserts.
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Emilia Javorsky critiques AI's overblown cancer cure claims.
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AI won't cure cancer soon due to biological data gaps and complexity.
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Zak Stein discusses AI's psychological harms, focusing on attachment and attention hacking.
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Anton Korinek analyzes automation's impact on wages, labor, and task complexity.
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Andrea Miotti advocates for a global ban on superintelligent AI systems.
Andrea Miotti
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Fr. Michael Baggot offers a Catholic perspective on AI companions and transhumanism.
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People managers are a bottleneck in AI safety research due to high demand.
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Language models excel at understanding and extrapolating human ethical norms.