That would be _tres cool_.

Thinking out loud here...That could be like an LLM that is tokenized on ideas as opposed to words/fragments, no?

I'm sure someone has worked on this, but how would a computer extract an idea from a bunch of words (sentences?) ?

Looks like another rabbit hole to add to the list...

I would say that tracing concepts back to their origins could be a good benchmark for evaluating AI models.

In the context of the article you mentioned, Robin Dunbar’s research and the Max4 Principle are referenced [1], along with a relevant Wikipedia article [2]. Expanding further, one can trace earlier foundational works, such as “The Primary Group as Cooley Defines It” [3], and even earlier sociological contributions by thinkers like Auguste Comte.

As for the “Serve it Forth” answer, I haven’t come across that yet except when, obviously?, I named it explicitly.

[1] https://newcreate.org/max-4-principle/

[2] https://en.wikipedia.org/wiki/Communication_in_small_groups

[3] https://www.jstor.org/stable/4105179

It could only go back to 1992 or so. For most people, history is whatever is linkable or the 5% of pre-1992 stuff that is popular enough to rate a dead wiki footnote.

The Google Ngram Viewer indicates that data was indexed well before 1992, even if the resource isn’t publicly accessible [1]. This likely reflects the reality that new content often garners more attention than old content, which doesn’t align with the "pay-per-click" model of monetization.

[1] https://books.google.com/ngrams/graph?content=darwin&year_st...