[LINK] Article in the Guardian about CSER, mentions MIRI and paperclip AI
http://www.theguardian.com/technology/2014/aug/30/saviours-universe-four-unlikely-men-save-world
The article is titled "The scientific A-Team saving the world from killer viruses, rogue AI and the paperclip apocalypse", and features interviews with Martin Rees, Huw Price, Jaan Tallinn and Partha Dasgupta. The author takes a rather positive tone about CSER and MIRI's endeavours, and mentions x-risks other than AI (bioengineered pandemic, global warming with human interference, distributed manufacturing).
I find it interesting that the inferential distance for the layman to the concept of paperclipping AI is much reduced by talking about paperclipping America, rather than the entire universe: though the author admits still struggling with the concept. Unusually for an journalist who starts off unfamiliar with these concepts, he writes in a tone that suggests that he takes the ideas seriously, without the sort of "this is very far-fetched and thus I will not lower myself to seriously considering it" countersignalling usually seen with x-risk coverage. There is currently the usual degree of incredulity in the comments section though.
For those unfamiliar with The Guardian, it is a British left-leaning newspaper with a heavy focus on social justice and left-wing political issues.
Update on establishment of Cambridge’s Centre for Study of Existential Risk
SIA, conditional probability and Jaan Tallinn's simulation tree
If you're going to use anthropic probability, use the self indication assumption (SIA) - it's by far the most sensible way of doing things.
Now, I am of the strong belief that probabilities in anthropic problems (such as the Sleeping Beauty problem) are not meaningful - only your decisions matter. And you can have different probability theories but still always reach the decisions if you have different theories as to who bears the responsibility of the actions of your copies, or how much you value them - see anthropic decision theory (ADT).
But that's a minority position - most people still use anthropic probabilities, so it's worth taking a more through look at what SIA does and doesn't tell you about population sizes and conditional probability.
This post will aim to clarify some issues with SIA, especially concerning Jaan Tallinn's simulation-tree model which he presented in exquisite story format at the recent singularity summit. I'll be assuming basic familiarity with SIA, and will run away screaming from any questions concerning infinity. SIA fears infinity (in a shameless self plug, I'll mention that anthropic decision theory runs into far less problems with infinities; for instance a bounded utility function is a sufficient - but not necessary - condition to ensure that ADT give you sensible answers even with infinitely many copies).
But onwards and upwards with SIA! To not-quite-infinity and below!
SIA does not (directly) predict large populations
One error people often make with SIA is to assume that it predicts a large population. It doesn't - at least not directly. What SIA predicts is that there will be a large number of agents that are subjectively indistinguishable from you. You can call these subjectively indistinguishable agents the "minimal reference class" - it is a great advantage of SIA that it will continue to make sense for any reference class you choose (as long as it contains the minimal reference class).
The SIA's impact on the total population is indirect: if the size of the total population is correlated with that of the minimal reference class, SIA will predict a large population. A correlation is not implausible: for instance, if there are a lot of humans around, then the probability that one of them is you is much larger. If there are a lot of intelligent life forms around, then the chance that humans exist is higher, and so on.
In most cases, we don't run into problems with assuming that SIA predicts large populations. But we have to bear in mind that the effect is indirect, and the effect can and does break down in many cases. For instance imagine that you knew you had evolved on some planet, but for some odd reason, didn't know whether your planet had a ring system or not. You have managed to figure out that the evolution of life on planets with ring systems is independent of the evolution of life on planets without. Since you don't know which situation you're in, SIA instructs you to increase the probability of life on ringed and on non-ringed planets (so far, so good - SIA is predicting generally larger populations).
And then one day you look up at the sky and see:
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