Updated 4 June 2015 It is unclear how informative we should expect expert predictions about AI timelines to be. Individual predictions are undoubtedly often off by many decades, since they disagree with each other. However their aggregate may still be quite informative. The
We expect predictions that human-level AI will come sooner to be recorded publicly more often, for a few reasons. Public statements are probably more optimistic than surveys because of such effects. The difference appears to be less than
Updated 9 November 2020 In 2015 AGI researchers appeared to expect human-level AI substantially sooner than other AI researchers. The difference ranges from about five years to at least about sixty years as we move
The MIRI AI predictions dataset is a collection of public predictions about human-level AI timelines. We edited the original dataset, as described below. Our dataset is available here, and the original here. Interesting features of the dataset
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
A billion Traversed Edges Per Second (a GTEPS) can be bought for around $0.26/hour via a powerful supercomputer, including hardware and energy costs only. We do not know if GTEPS can be bought more cheaply elsewhere. We estimate that
This list currently consists of research projects suggested at the Multipolar AI workshop we held on January 26 2015. Relatively concrete projects are marked [concrete]. These are more likely to already include specific questions to answer and feasible methods to answer them
By Katja Grace, 9 February 2015 A natural approach to informing oneself about when human-level AI will arrive is to check what experts who have already investigated the question say about it. So we made this list of analyses that we could find. It’s
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