Tacit Knowledge Paper Argues Human-Machine Friction Matters Beyond Automatable R&D Tasks
sebkrier · x · 2026-10-09
A short (12-page) paper on tacit knowledge, citing Nonaka's idea that ambiguity, conflict, and breakdown force people to reexamine assumptions, sparks a fresh take on closing the RSI loop.
The author argues that while many ML R&D tasks are automatable, deciding what counts as a better model depends on external feedback loops unfolding over time—including ones that expose flaws in the very objectives being optimized. So part of the value of human-machine interaction comes not from individual automated tasks but from the friction between different kinds of knowledge.
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