Really exciting talk from demonstrates an interface for incrementally generating semi-formal "discourse graphs" (X supports Y, Z informs W) through naturalistic note-taking structures: youtu.be/nbpq8HpaDnc?t=
The loose structure and incrementalism seem really key!
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I've been creating these sorts of relationships informally in my own note-writing processes, and it's been really interesting to see synthesis (sometimes) emerge from the noise.
Not yet sure how useful formal structures ("discourse graphs") are, vs. relatively simple queries.
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Probably more formal and machine-readable structures are essential if one aspires to network this work across many scholars, as Joel does.
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I didn't emphasize this enough: the thing that's so interesting about the approach 's illustrating here is that a semi-structured "discourse graph" emerges *as a byproduct of* normal annotation / note-taking practices. It doesn't demand extra workflows.
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This kind of smooth integration and incrementalism seems critical to adoption.
Relatedly: I started writing *way* more SRS prompts ~2 years ago when I integrated them into my note-writing tools (i.e. so that writing prompts wasn't a "separate" workflow).
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