LLMs allow us to not force ontologies up front in a task.

It's much easier to start a task if you can just dump unstructured information and then structure it continuously over time.

But in mechanistic systems, to get useful insights you needed structure: fitting your information into a given ontology.

In mechanistic systems, that had to happen up front, putting a damper on the very first step.

But LLMs can do qualitative insights at quantitative scale.

That means that more interfaces can allow a flexible data entry with clean up later.

Especially if the LLM can help post-host structure.

Post-hoc ontologization.^[ju][jv]