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Computational power of the human brain

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Applied to Potential Implications of AI on Human Cognitive Evolution 3mo ago

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Applied to Global computing capacity 2y ago

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Applied to Why Simulator AIs want to be Active Inference AIs 2y ago

Leo v1.2.0Jan 8th 2022 GMT (+15/-12) 0

BibliographyFurther reading

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Applied to What is Compute? - Transformative AI and Compute [1/4] 3y ago

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Applied to [3-hour podcast]: Joseph Carlsmith on longtermism, utopia, the computational power of the brain, meta-ethics, illusionism and meditation 3y ago

Pablo v1.1.0May 6th 2021 GMT (+488) 2

Bibliography

Aguirre, Anthony (2019) How many FLOPS for human-level AGI?, Metaculus, March 13.

Sandberg, Anders & Nick Bostrom (2008) Whole Brain Emulation: A Roadmap, Oxford: Future of Humanity Institute.

Carlsmith, Joseph (2020a) How much computational power does it take to match the human brain?, Open Philanthropy, September 11.

Carlsmith, Joseph (2020b) Discussions with Dr. Paul Christiano, Fall 2019-Spring 2020, Open Philanthropy.

Related entries

AI forecasting | whole brain emulation

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Applied to New report on how much computational power it takes to match the human brain (Open Philanthropy) 4y ago

Pablo v1.0.0Apr 14th 2021 GMT (+134) 2

The computational power of the human brain is the number of operations per unit time performed by the adult brain of a typical human.

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Created by Pablo at 4y