I’ve struggled to communicate this use of LLMs effectively but Henrik Karlsson nails it in this description:
https://www.henrikkarlsson.xyz/p/private-notebooks
The messiness and ambiguity of private notes makes them fun to read alongside LLMs, by the way: by feeding confusing or meandering parts to an LLM, I can often get the padding and explanations I needed to make sense of what happens and turn the thoughts into a form that is more ergonomic for my mind. Perhaps the future of writing is to publish more of this kind of gnomic private writing, where you write as densely and as personally as possible. Readers can then use it as out-of-distribution data to seed AI systems to get into interesting thought spaces. I think Venkatesh Rao has written about this possibility somewhere.
They’re often at their best with little bits of thought-shrapnel (a phrase I originally picked up from Doug Belshaw) presented in a combinatorial mode, with the intention of stimulating you into finding new ways of thinking about the themes that unites the pieces you’re feeding to the machine.
It’s a way of accessing “interesting thought spaces” as Karlsson puts it. Ones which are difficult to get to through either a linear approach or an individualised non-linear creativity.
