On: From models of galaxies to atoms, simple AI shortc...

[fxtentacle]

Except that "generalization" implies that it works for previously unseen problems, which is usually not the case for AI.

Compression, on the other hand, nicely captures the "learn and reproduce" approach that using AI entails.

[tanilama → fxtentacle]

Unseen problems is a ill defined term. There is a distinction between in domain and out of domain, both can be unseen by the model before.

Even human as agent requires training before being deployed to unseen problems. Generalization is conditioned on experience, after all.

AI generalizes to unseen in domain data given a specific task. That is why it is useful in the first place.