# Difference between revisions of "Computronium"

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− | Computronium is a | + | Computronium is a "theoretical arrangement of matter that is the most optimal possible form of computing device for that amount of matter. " {{wikilink}} |

==Relevant to Friendly AI== | ==Relevant to Friendly AI== | ||

− | In a thought experiment similar to the [[Paperclip | + | In a thought experiment similar to the [[Paperclip maximizer]], if an artificial general intelligence has a [[terminal value] (end-goal) which to make a pure mathematical calculation like solving the Riemann Hypothesis [http://intelligence.org/upload/CFAI/design/generic.html#glossary_riemann_hypothesis_catastrophe it would convert] all available mass to [[computronium]] (the most efficient possible computer processors). |

In fact, a similar outcome would also apply to many other goals: So long as greater optimization power can be boosted with more computing power, and so long as dedication of resources to creating computronium does not detract from the goal (e.g., by taking up matter, time, or effort that can better be used in other ways), computronium may result. A mathematical goal, like proving the Riemann Hypothesis, is completely focused on computation and so most directly illustrates the concept. | In fact, a similar outcome would also apply to many other goals: So long as greater optimization power can be boosted with more computing power, and so long as dedication of resources to creating computronium does not detract from the goal (e.g., by taking up matter, time, or effort that can better be used in other ways), computronium may result. A mathematical goal, like proving the Riemann Hypothesis, is completely focused on computation and so most directly illustrates the concept. |

## Revision as of 01:20, 4 September 2012

Computronium is a "theoretical arrangement of matter that is the most optimal possible form of computing device for that amount of matter. "

## Relevant to Friendly AI

In a thought experiment similar to the Paperclip maximizer, if an artificial general intelligence has a [[terminal value] (end-goal) which to make a pure mathematical calculation like solving the Riemann Hypothesis it would convert all available mass to computronium (the most efficient possible computer processors).

In fact, a similar outcome would also apply to many other goals: So long as greater optimization power can be boosted with more computing power, and so long as dedication of resources to creating computronium does not detract from the goal (e.g., by taking up matter, time, or effort that can better be used in other ways), computronium may result. A mathematical goal, like proving the Riemann Hypothesis, is completely focused on computation and so most directly illustrates the concept.