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Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom
Historical advances in hardware, algorithms, and data have driven successive AI capabilities improvements.
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Historical advances in hardware, algorithms, and data have driven successive AI capabilities improvements.
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Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom
Neuroscience and cognitive science provide potential blueprints but are not yet complete mappings to intelligence.
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Neuroscience and cognitive science provide potential blueprints but are not yet complete mappings to intelligence.
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Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom
Investment, institutional incentives, and compute availability strongly influence development pace.
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Investment, institutional incentives, and compute availability strongly influence development pace.
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Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom
Trend extrapolation is uncertain: improvements can be non
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Trend extrapolation is uncertain: improvements can be non
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Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom
linear and disrupted by unforeseeable breakthroughs or bottlenecks.
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linear and disrupted by unforeseeable breakthroughs or bottlenecks.
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Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom
Use historical trends to prioritize early monitoring and flexible governance that can adapt to rapid technical change.
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Use historical trends to prioritize early monitoring and flexible governance that can adapt to rapid technical change.
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Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom
Understanding historical trajectories frames the plausibility and urgency of preparing for superintelligence, highlighting both momentum and uncertainty. This context motivates risk-focused policy and research priorities.
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Understanding historical trajectories frames the plausibility and urgency of preparing for superintelligence, highlighting both momentum and uncertainty. This context motivates risk-focused policy and research priorities.
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Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom
The chapter traces historical progress in computation, neuroscience, and AI research, showing accelerating capabilities and expanding investment. It argues that past trends make transformative AI plausible, while timelines remain uncertain…
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The chapter traces historical progress in computation, neuroscience, and AI research, showing accelerating capabilities and expanding investment. It argues that past trends make transformative AI plausible, while timelines remain uncertain and contingent on multiple technical and social factors.
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Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom
Multiple architectures could produce superintelligence: brain emulation, algorithmic advances, or hybrids.
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Multiple architectures could produce superintelligence: brain emulation, algorithmic advances, or hybrids.
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Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom
Whole
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Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom
brain emulation requires advances in scanning, modeling, and computational substrates and has distinct bottlenecks.
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brain emulation requires advances in scanning, modeling, and computational substrates and has distinct bottlenecks.
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Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom
Software
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Software
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