Feasibility of Efficient Knowledge Updating Under the Current Paradigm

Ascertain whether efficient knowledge updating is achievable within the probabilistic language modeling-based paradigm that encodes knowledge in model parameters.

Background

The authors question whether efficient knowledge updates are fundamentally possible when knowledge is stored implicitly in model weights. They note that uncertainty about LLM internal mechanisms—such as whether they perform latent reasoning—undermines prospects for simple, robust updates that propagate changes through related facts.