Tacit Knowledge and RSI: Why Human-Machine Friction Resists Automation
soumitrashukla9 · x · 2026-10-09
Sebastien Krier shares a 12-page paper on tacit knowledge (recommended by Daniel Rock), citing Nonaka's point that ambiguity, conflict, and breakdown force organizations to reexamine assumptions. He draws an RSI implication: while many ML R&D tasks are automatable, deciding what counts as a better model depends on external feedback loops unfolding over time—so part of the value of human-machine interaction comes from friction between kinds of knowledge, not the automated tasks themselves.
Related event: Tacit Knowledge Paper Sparks Rethink on Human-AI Interaction(2 posts)→
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