tacit-knowledge

The know-how that experts carry but cannot fully articulate: the judgment, intuition, and pattern recognition built through experience rather than written rules. Content here examines why the hard-won parts of expertise resist capture by AI systems, even when explicit methods and procedures transfer cleanly. Expect discussions of what gets lost when human judgment is distilled into models, and how to work with knowledge that stays stubbornly implicit.

Glowing head dissolving into particles that rebuild a hollow empty copy, showing what knowledge distillation loses.

knowledge-distillation, tacit-knowledge, model-evaluation, ai-expertise, publishing-expertise

What Actually Gets Distilled: Copying the Method Is Not Copying the Judgment

Knowledge distillation reliably copies a model's outputs and benchmark scores while losing the properties that made them trustworthy: calibration, robustness, and reasoning faithfulness. The same split applies to human expertise absorbed by AI systems -- your explicit method transfers cleanly, but y