K. Anders Ericsson — On AI
This page lists every Orange Pill Wiki entry hyperlinked from K. Anders Ericsson — On AI. 16 entries total. Each is a deeper-dive on a person, concept, work, event, or technology that the book treats as a stepping stone for thinking through the AI revolution. Click any card to open the entry; in each entry, words colored in orange link to other Orange Pill Wiki entries, while orange-underlined words with the Wikipedia mark link to Wikipedia.
Automation Dependence
The quiet risk of comprehensive automation: not that machines dominate us, but that we lose the capabilities they replace. Asimov's Solarians are the founding fiction; contemporary work on cognitive offloading is the empirical counterpart.
Deliberate Practice
Ericsson's empirically grounded mechanism for expertise — effortful, boundary-targeting, feedback-rich, iteratively refined engagement that builds the mental representations no shortcut can replicate.
Expert Mental Representations
The rich, flexible, deeply structured internal models of a domain that enable expert perception, judgment, and adaptive response — built only through the specific friction of deliberate practice.
Flow State
Mihaly Csikszentmihalyi's name for the condition of optimal human engagement — and, in Wiener's framework, the subjective signature of a well-regulated negative feedback system.
Geological Understanding
The layered, embodied form of knowledge that accumulates in a practitioner through years of focal engagement with her material — too slow to notice day-to-day, too deep to transmit by documentation, and invisible to every metric the device …
Iudicium
The Renaissance humanists' term for the cultivated capacity for judgment that no rule can capture — the highest intellectual virtue, and the capacity the AI age makes most valuable.
Naive vs. Purposeful vs. Deliberate Practice
Ericsson's three-mode taxonomy of practice — the default mode of AI-assisted work most closely resembles the least developmental form, regardless of how sophisticated the output appears.
Smuggled Expertise and the Training-Data Problem
The structural illusion by which AI systems appear to possess expertise they have extracted from human experts — the representations manifest in training data without any of the developmental process that built them.
The Decoupling of Output and Development
The unprecedented separation — produced by AI — between what a practitioner can produce and what she has become in the process of producing it; between performance and learning, output and understanding.
The Incubation Effect
The cognitive phenomenon — threatened by the speed of AI feedback — in which unconscious processing of a problem over hours or days produces insights that immediate solution eliminates.
The Mentor Relationship
Nakamura's empirical finding that the transmission of standards — not knowledge, not technique — is the single most important function the mentor provides, and the function AI most thoroughly fails to replicate.
The Practice Taxonomy
Ericsson's three-mode classification — naive, purposeful, deliberate — distinguishing practice types by their developmental outcomes rather than the practitioner's intention, and locating most AI-assisted work at the naive end.
The Rising Floor of Mastery
The decoupling — by AI — between the minimum floor of professional output and the developmental process that historically produced it, creating a world where expert-level production is achievable without expert-level understanding.
The Simon-Ericsson Lineage
The intellectual genealogy by which Herbert Simon's expertise research produced both the science of human development Ericsson pursued and the artificial intelligence program that now challenges it — two halves of a single mechanism that h…
