A theory proposes three stages for information flow in LLMs
A publication dated October 9, 2025 links massive activations, attention sinks, and compression valleys, and proposes three stages for information flow in language models.
On October 9, 2025, a publication presented a theory of information flow in LLMs. It links massive activations to attention sinks and compression valleys, and proposes that information flow takes place in three stages. The available summary does not detail those stages or report specific experimental results.
The proposal may interest engineers studying attention and information flow in models. To understand the argument and check the scope of its conclusions, consult the original publication and compare its claims with the full text. If you use AI to study or apply the material, avoid sending personal information or internal content without authorization; verify any interpretation against the original.