Now thinking about it, is there any need for an AGI model? Is this a classic case of a (magic) solution looking for a problem?
There are for sure use cases for inference models in generalized (or rather ill-understood; or even highly dynamic) non-linear systems, and deep learning models kind of ace at that—given enough training data and a lot of computational power. However I’m not really sure what we will use AGI for.
There are for sure use cases for inference models in generalized (or rather ill-understood; or even highly dynamic) non-linear systems, and deep learning models kind of ace at that—given enough training data and a lot of computational power. However I’m not really sure what we will use AGI for.