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An AI wolf that preferred suicide over eating sheep

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31–40 of 223 posts

Re: An AI wolf that preferred suicide over eating sheep

#31

Similar story of unexpected AI outcomes... As part of my PhD research, I created a simplified Pac-Man style game where the agent would simply try to stay alive as long as possible whilst being chased by the 3 ghosts. The agent was un-motivated and understood nothing about the goal, but was optimising for maximising its observable control over the world (avoiding death is a natural outcome of this). I spent sometime t…

I believe that tactic is called "kiting" and used by speedrunners?

Re: An AI wolf that preferred suicide over eating sheep

#32

Isn't this just a cock up with incentives? If they'd put a -100 score on dying it would have sorted itself out pretty quick.

Perhaps the PhD student wasn't trying to make an AI that wins at pac-man, but investigating something else. They mention "maximizing control over environment".

Re: An AI wolf that preferred suicide over eating sheep

#33

Isn't this just a cock up with incentives? If they'd put a -100 score on dying it would have sorted itself out pretty quick.

Or social commentary on the nature of depression.

If you add your penalty, and a deficit of nearby sheep, you'd expect a trifurcation of strategy: hoarders that consume the nearby sheep immediately, explorers that bet on sheep further afield, and suicides from those that have evaluated the -100 penalty to still be optimal.

Re: An AI wolf that preferred suicide over eating sheep

#36

Isn't this just a cock up with incentives? If they'd put a -100 score on dying it would have sorted itself out pretty quick.

The issue with AI safety and unanticipated AI outcomes in general is that it’s always just a cock-up with incentives. It’s easy to sort out in narrowly specified areas, but an extremely hard problem as the tasks become more general.

Even worse: if simulations are used, you now have two problems - formulating correct incentives and protecting against abusing flaws in the simulation.

Re: An AI wolf that preferred suicide over eating sheep

#38

Reminds me of the old essay by 'Eliezer: "The Hidden Complexity of Wishes". https://www.lesswrong.com/posts/4ARaTpNX62uaL86j6/the-hidden... In it, there is a thought experiment of having an "Outcome Pump", a device that makes your wishes come true without violating laws of physics (not counting the unspecified internals of the device), by essentially running an optimization algorithm on possible futures. As the essay…

Aesop managed to make the point a lot more concisely: "Be careful what you wish for, lest it come true." (Although now that I look, I don't think that's a translation of any specific part of the text.)

Re: An AI wolf that preferred suicide over eating sheep

#39

Isn't this just a cock up with incentives? If they'd put a -100 score on dying it would have sorted itself out pretty quick.

I think the point is more about highlighting the fact that AI doesn't share our base assumptions. We wouldn't think to put a huge penalty on dying because humans generally think that death is bad.

Re: An AI wolf that preferred suicide over eating sheep

#40
post #29

I think a major takeaway here is that balancing a reward system to reward more than a single behavior is really hard - it's easy to tip the scales so one behavior completely dominates all others. It's an interesting lens to use to look at the heuristic reward system humans have built in (hunger, fear, desire, etc). This tends to have an adaptation/numbing effect, where repeated rewards of the same type tend to have d…

That was my thought, too. They used too few rewards in the first place, but had they used something more complex it would then have become hard to balance it all.
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