= 27d567bc2d48d9f40e9ccc20ea370b15)
timtyler comments on Reframing the Problem of AI Progress - Less Wrong
You are viewing a comment permalink. View the original post to see all comments and the full post content.
= 783df68a0f980790206b9ea87794c5b6)
Loading…= b715d02e85f7b3b4ae65ca3d3e450868)
Subscribe to RSS Feed
Powered by Reddit
= f037147d6e6c911a85753b9abdedda8d)
You are viewing a comment permalink. View the original post to see all comments and the full post content.
Comments (47)
Inductive inference is "just a math problem". That's the part that models the world - which is what our brain spends most of its time doing. However, it's probably not "one or two deep insights". Inductive inference systems seem to be complex and challenging to build.
Everything is a math problem. But that doesn't mean that you can build a brain by sitting in your basement and literally think it up.
A well-specified math problem, then. By contrast with fusion or space travel.
how is intelligence well specified compared to space travel? We know physics well enough. We know we want to get from point A to point B. The intelligence: we don't even quite know what do exactly we want from it. We know of some ridiculous towers of exponents slow method, that means precisely nothing.
The claim was: inductive inference is just a math problem. If we know how to build a good quality, general-purpose stream compressor, the problem would be solved.