this post was submitted on 23 Nov 2023
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The thing is, in general computing it was humans who figured out how to build the support for complex abstractions up from support for the simplest concepts, whilst this would have to not just support the simple concepts but actually figure out and build support for complex abstractions by itself to be GAI.
Training a neural network to do a simple task (such as addition) isn't all that hard (I get the impression that the "breaktrough" here is that they got an LLM - which is a very specific kind of NN, for language - to do it), getting it to by itself build support for complex abstractions from support for simpler concepts is something else altogether.
I know jack shit, but actual mastery of first principles would seem a massive leap in LLM development. A shift from talented bullshitter to deductive extrapolator does sound worthy of notice/concern.