By Katja Grace, 28 July 2015 This week Robin Hanson is finishing off his much anticipated book, The Age of Em: Work, Love and Life When Robots Rule the Earth. He recently told me that it would be helpful to include
Computing hardware which is equivalent to the brain – in terms of FLOPS probably costs between $1 x 105 and $3 x 1016, or $2/hour-$700bn/hour. in terms of TEPS probably costs $200M – $7B, or or $4,700 – $170,000/hour
The computing power needed to replicate the human brain’s relevant activities has been estimated by various authors, with answers ranging from 1012 to 1028 FLOPS. Details Notes We have not investigated the brain’s performance in FLOPS in
Hardware in terms of computing capacity (FLOPS and MIPS) Brain performance in FLOPS 2019 recent trends in GPU price per FLOPS Electrical efficiency of computing 2018 price of performance by Tensor Processing Units 2017 trend in
It costs roughly $300-$3000 to buy enough storage space to store all information contained by a human brain. Support The human brain probably stores around 10-100TB of data. Data storage costs around $30/TB. Thus it costs roughly $300-$3000 to buy
Posted 23 July 2015 Cheap secondary memory appears to cost around $0.03/GB in 2015. In the long run the price has declined by an order of magnitude roughly every 4.6 years. However the rate has declined so much that prices haven’t substantially dropped since 2011 (in 2015).
By Katja Grace, 15 July 2015 On Thursday July 30th Robin Hanson is visiting again, and this time we will be holding an informal workshop on how to usefully answer questions about the future, with an emphasis on economic approaches.
By Katja Grace, 13 July 2015 Prof. Steve Potter works at the Laboratory of Neuroengineering in Atlanta, Georgia. I wrote to him after coming across his old article, ‘What can AI get from Neuroscience?’ I wanted to know how neuroscience might contribute to AI
Posted 13 July 2015 Participants Professor Steve Potter – Associate Professor, Laboratory of NeuroEngineering, Coulter Department of Biomedical Engineering, Georgia Institute of Technology Katja Grace – Machine Intelligence Research Institute (MIRI) Note: These notes were