We examine how humanity can best
reduce suffering

Our mission is to identify cooperative and effective strategies to reduce involuntary suffering. We believe that in a complex world where the long-run consequences of our actions are highly uncertain, such an undertaking requires foundational research. Currently, our research focuses on reducing risks of dystopian futures in the context of emerging technologies.

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Multiverse-wide Cooperation via Correlated Decision Making

Some decision theorists argue that when playing a prisoner's dilemma-type game against a sufficiently similar opponent, we should cooperate to make it more likely that our opponent also cooperates. This idea, which Hofstadter calls superrationality, has strong implications when combined with the insight from modern physics that we live in a large universe or multiverse of some sort.

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Gains from Trade through Compromise

When agents of differing values compete, they may often find it mutually advantageous to compromise rather than continuing to engage in zero-sum conflicts. Potential ways of encouraging cooperation include promoting democracy, tolerance and (moral) trade. Because a future without compromise could be many times worse than a future with it, advancing compromise seems an important undertaking.

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3 July 2018

Challenges to implementing surrogate goals

Surrogate goals might be one of the most promising approaches to reduce (the disvalue resulting from) threats. The idea is to add to one’s current goals a surrogate goal that one did not initially care about, hoping that any potential threats will target this surrogate goal rather than what one initially cared about. In this post, I will outline two key obstacles to a successful implementation of surrogate goals.

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29 March 2018

A framework for thinking about AI timescales

To steer the development of powerful AI in beneficial directions, we need an accurate understanding of how the transition to a world with powerful AI systems will unfold. A key question is how long such a transition (or “takeoff”) will take.

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1 March 2018

Commenting on MSR, Part 2: Cooperation heuristics

Summary This post assumes deep familiarity with the ideas discussed in Caspar Oesterheld’s paper Multiverse-wide cooperation via coordinated decision-making. I wrote a short introduction to multiverse-wide cooperation in an earlier post (but I still recommend reading parts of Caspar’s original paper first, or at least this more advanced introduction, because some of the things that…

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Robust program equilibrium

One approach to achieving cooperation in the one-shot prisoner’s dilemma is Tennenholtz’s program equilibrium, in which the players of a game submit programs instead of strategies. These programs are then allowed to read each other’s source code to decide which action to take. Unfortunately, existing cooperative equilibria are either fragile or computationally challenging and therefore unlikely to be realized in practice. This paper proposes a new, simple, more efficient program to achieve more robust cooperative program equilibria.

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