Blog

Time flies when robots rule the earth

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 rough numbers for the brain’s memory and computing capacity in

No Picture
AI Timelines

Costs of human-level hardware

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

No Picture
AI Timelines

Brain performance in FLOPS

Five credible estimates of brain computing capacity in terms of FLOPS by others that we are aware of are spread across the range from 3 x 1013 to 1025 FLOPS. The median estimate is 1018 FLOPS. Our own estimate of

No Picture
AI Timelines

Index of articles about hardware

Hardware in terms of computing capacity (FLOPS and MIPS) Brain performance in FLOPS Current FLOPS prices Trends in the cost of computing Wikipedia history of GFLOPS costs Hardware in terms of communication capacity (TEPS) Brain performance in TEPS (includes the

No Picture
AI Timelines

Cost of human-level information storage

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

No Picture
AI Timelines

Costs of information storage

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). Support Cheap secondary memory appears to

No Picture
AI Timelines

Information storage in the brain

The brain probably stores around 10-100TB of data. Support According to Forrest Wickman, computational neuroscientists generally believe the brain stores 10-100 terabytes of data. He suggests that these estimates are produced by assuming that information is largely stored in synapses, and

Blog

Event: Exercises in Economic Futurism

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. We will pick roughly three concrete

Blog

Steve Potter on neuroscience and AI

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 in the future: for instance will

No Picture
AI Timelines

Conversation with Steve Potter

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 compiled by MIRI and