Marcus Hutter
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Yeah, so that's a theory which...
I claim, and Ray Solominov sort of claimed a long time ago, that this solves the big philosophical problem of induction.
And I believe the claim is essentially true.
And what it does is the following.
So, okay, for the picky listener, induction can be interpreted narrowly and wildly.
Narrow means inferring models from data.
And widely means also then using these models for doing predictions.
So prediction is also part of the induction.
So I'm a little sloppy sort of with the terminology.
And maybe that comes from Ray Solomon of, you know, being sloppy.
Maybe I shouldn't say that.
We can't complain anymore.
So let me explain a little bit this theory in simple terms.
So assume you have a data sequence.
Make it very simple.
The simplest one, say, 1, 1, 1, 1, 1, and you see 100 ones.
What do you think comes next?
The natural answer, I'm going to speed up a little bit.
The natural answer is, of course, one.
And the question is, why?