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What if you turned the world’s hardware into AI minds?

By Katja Grace, 4 September 2016 In a classic ‘AI takes over the world’ scenario, one of the first things an emerging superintelligence wants to do is steal most of the world’s computing hardware and repurpose it to running the AI’s

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Nature of AI

Sources of advantage for digital agents over biological agents

Artificial agents should have several advantages over humans. Details The following is an excerpt from Superintelligence (Bostrom, 2014),  reproduced with permission. It outlines ten advantages Bostrom expects digital intelligences to have over human intelligences. Sources of advantage for digital intelligence Minor

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AI Control

Examples of early action on risks

Details Discussion There are many current efforts to mitigate risks from artificial intelligence. We might learn something about the likelihood of these efforts influencing AI risk by looking at similar past efforts. To this end, we are interested here

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Reference

Selected Citations

This page is out-of-date. Visit the updated version of this page on our wiki. A non-exhaustive collection of places where AI Impacts’ work has been cited. AI Timelines Muehlhauser, Luke. 2015. “What Do We Know

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Error in Armstrong and Sotala 2012

By Katja Grace, 17 May 2016 Can AI researchers say anything useful about when strong AI will arrive? Back in 2012, Stuart Armstrong and Kaj Sotala weighed in on this question in a paper called ‘How We’re

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Metasurvey: predict the predictors

By Katja Grace, 12 May 2016 As I mentioned earlier, we’ve been making a survey for AI researchers. The survey asks when AI will be able to do things like build a lego kit according to the instructions, be a surgeon, or radically

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Concrete AI tasks bleg

By Katja Grace, 30 March 2016 We’re making a survey. I hope to write soon about our general methods and plans, so anyone kind enough to criticize them has the chance. Before that though, we have a different request: we want a list

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Mysteries of global hardware

By Katja Grace, 7 March 2016 This blog post summarizes recent research on our Global Computing Capacity page. See that page for full citations and detailed reasoning. We recently investigated this intriguing puzzle: FLOPS (then) apparently performed by all of the world’s computing

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AI Timelines

Global computing capacity

[This page is out of date and its contents may have been inaccurate in 2015, in light of new information that we are yet to integrate. See Computing capacity of all GPUs and TPUs for a related

Blog

Recently at AI Impacts

By Katja Grace, 24 November 2015 We’ve been working on a few longer term projects lately, so here’s an update in the absence of regular page additions. New researchers Stephanie Zolayvar and John Salvatier have recently joined us,