It's a ‘superrational’ extension of the proven optimality of cooperation in game theory + Taking into account asymmetries of power // Still AI risk is very real Short version of an already skimmed 12min post 29min version here For rational agents (long-term) at all scale (human, AGI, ASI…) In real...
- Short version of How to coordinate despite our biases? Democracy, economy and fairness can be genuine if we have all the information necessary to make choices, aware of the context and consequences. Currently, this ideal is not respected. Of course it’s an ideal, but we should do our best...
The upcoming framing is analogous to a procedure asking : "Is [this option] really giving [more options] to the highest number of beings?" Takeaway : In the worst case, which many argue is by default, humans will create a maximizer. I argue that the least harmful thing for a maximizer...
Follow-up to this post One thing that seems important to me is that optionality implies a sort of high-level game theory : It is good that we are in a complex environment with many phenomenons even when it seems that those phenomenons aren't directly relevant (to prevent threats from our...
Hey, When thinking about ethical questions, especially in the face of strong AI optimization forces, I wonder if some of you might have considered a version of utilitarianism which instead of trying to maximise nebulous things like happiness or utility, (whatever those might be—the difficulty of defining which is somewhat...
This is a short version of the more complete post More clarity and context here I formulate a desiderata/procedure (called "phenomenal ethics" or "open-ended ethics") : Expanding the action space and autonomy of a maximum of phenomenons (enhancing ecosystemic values, and the means to reach/understand options), modulated by variables mitigating...
More clarity and context here The short TLDR version is here I formulate a desiderata/procedure (called "phenomenal ethics") : Expanding the action space and autonomy of a maximum of phenomenons (enhancing ecosystemic values, and the means to reach/understand options), modulated by variables mitigating frantic optimizations (to respect natural evolving rates...