Sure. All aggregated data is ultimately derived from raw, unaggregated data. One can make the argument that training an LLM is "just" an unusually complicated form of aggregation.

Whether that would hold up is another question. But yeah, I agree with the conclusion that they need to clarify this.

Training the LLM is a form of “learning”, and putting all the data in an input training set is a form of aggregation.

The clause seems to mean “we can do whatever we want with your data as long as we violate many people’s privacy at scale at the same time”.

But then the training can be surreptitiously be called data aggregation. We don't look at the raw data, we aggregate it and then query the aggregation.

Definitely needs clarification, though somehow I suspect this is all by design.