> "I came hoping to find something like neural radiance fields [1] but for generic datasets (ie. latent representations of data that allow you to store the 'dat

> "I came hoping to find something like neural radiance fields [1] but for generic datasets (ie. latent representations of data that allow you to store the 'data' without storing it explicitly row by row)." In that case the system doesn't have transparency and control. Imagine you are given a fact that "Alice works at Google" and 1 month later you want to remove that and add "Alice works at Facebook". In fully latent representation model of the data, you can not guarantee this. For similar reasons, you can not guarantee preventing implicit biases in the data. Pre-trained generative models tend to hallucinate facts, for example you have two facts: "Alice works at hospital", "Bob works at hospital", if someone asks what does Alice/Bob do? You don't want your model hallucinates Nurse/Doctor.