major investigation – AI Impacts

Interviews on plausibility of AI safety by default

This is a list of interviews on the plausibility of AI safety by default. Background AI Impacts conducted interviews with several thinkers on AI safety in 2019 as part of a project exploring arguments for

2019 recent trends in GPU price per FLOPS

Published 25 March, 2020 We estimate that in recent years, GPU prices have fallen at rates that would yield an order of magnitude over roughly: Details GPUs (graphics processing units) are specialized electronic circuits originally

Image credit: By J. Arthur Thomson - http://www.gutenberg.org/files/17786/17786-h/17786-h.htm, Public Domain, https://commons.wikimedia.org/w/index.php?curid=9943793

Investigation into the relationship between neuron count and intelligence across differing cortical architectures

Survey participants (n = 83) were given anonymized descriptions of behavior in the wild for four animals: one bird species and one primate species with a similar neuron count, and one bird species and one

2016 Expert Survey on Progress in AI

Published June 2016; last substantial update before Oct 2017 The 2016 Expert Survey on Progress in AI is a survey of machine learning researchers that Katja Grace and John Salvatier of AI Impacts ran in

Brain performance in TEPS

Traversed Edges Per Second (TEPS) is a benchmark for measuring a computer’s ability to communicate information internally. Given several assumptions, we can also estimate the human brain’s communication performance in terms of TEPS, and use this

Discontinuous progress investigation

Published Feb 2, 2015; last substantially updated April 12 2020 We have collected cases of discontinuous technological progress to inform our understanding of whether artificial intelligence performance is likely to undergo such a discontinuity. This page