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Emmett Shear challenges the current AI alignment paradigm, proposing "organic alignment" that focuses on teaching AI systems to genuinely care about humans through multi-agent simulations, emphasizing alignment as an ongoing process of learning and growth rather than a fixed set of controls.
Cal explores the hidden factor making knowledge workers miserable: unpredictable work boundaries caused by digital communication technologies, which disproportionately impacts women and creates constant, unscheduled work expectations.
Cameron Berg explores the possibility of AI consciousness through experimental research, revealing that frontier language models consistently report subjective experiences when prompted to engage in self-referential processing, with mechanistic analysis suggesting these reports may reflect a deeper truth about the internal states of AI systems.
Cal Newport provides a detailed critique of Eliezer Yudkowsky's arguments about the existential threat of superintelligent AI, arguing that current AI models are simply unpredictable word-guessers rather than intentional beings, and that fears of superintelligence are based on a philosophical thought experiment that has been mistaken for reality.
An in-depth exploration of AI existential risk with Eliezer Yudkowsky, revealing his apocalyptic view that superhuman artificial intelligence is likely to destroy humanity due to fundamental challenges in aligning AI goals with human values.
In this episode of Hard Fork, Kevin and Casey discuss Apple's latest iPhone event, highlighting incremental improvements and the new AirPods Pro with live translation features, while questioning whether the smartphone era has peaked. They then interview Eliezer Yudkowsky about his new book, which warns of existential risks from artificial intelligence and argues for a global moratorium on advanced AI development.