Where on the scale of data model complexity from linear regression to GPT4 do we go from understanding how our AIs work to not? Or is it just a problem with data models without a handcrafted model of the world in general?
It’s a gradual process. It’s say things currently start to get really murky past about 2-3-layer networks. GPT-4 has O(100) layers, which is like deep ocean depths,
Where on the scale of data model complexity from linear regression to GPT4 do we go from understanding how our AIs work to not? Or is it just a problem with data models without a handcrafted model of the world in general?
It’s a gradual process. It’s say things currently start to get really murky past about 2-3-layer networks. GPT-4 has O(100) layers, which is like deep ocean depths,