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NICK J. HAY
The article
The Stamp Collecting Device said
An avid stamp collector, who is also an AI enthusiast, decides to build
a stamp collecting device. This margin is too small for the details, but
the idea is simple:
- The device will be active for one year. It is connected to the
internet, from which it sends and receives packets.
- The device has an internal model of the universe. This model
captures how likely each state of the world is, can predict future
packets received, and can simulate the effect of packets sent.
- For every possible sequence of packets, the model extrapolates
the
final state and counts the number of stamps collected.
- The device outputs the sequence leading to the largest number of
stamps.
...Infecting the internet to collect stamps seems stupid. Won't the
device
realize this wasn't what the stamp collector had in mind? Won't it ask
whether there is a better goal than collecting stamps? Isn't it
satisfied
with 170,000 stamps?
But we can answer this question, we have the device's complete design.
It
doesn't ask itself questions. It doesn't think at all. It simply selects
the output maximizing the number of stamps. The device is not well
understood by analogy to humans.
So, the stamp collector powers up the device. And the world stops,
filled with stamps.
Nick J. Hay, M.S. is based at the University of California,
Berkeley.
Nick also authored
Error in Enumerable Sequence Prediction,
The Accuracy of Universal Sequence Predictors,
Anthropomorphic AI, and
Solomonoff Induction.
He earned his M.S. in Computer Science with
Universal Semimeasures: An Introduction at
The University of Auckland, New Zealand.
He earned his B.S. in Computer Science with
Optimal Agents at The University of Auckland, New Zealand.
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