The Lesson Path. How a person's correction becomes a verified lesson for an AI model. Open specification, version 0.1
Year: 2026
Type: article
Abstract: An open specification (version 0.1, a draft for discussion) describing how a correction a person makes while working with an AI model can become a verified lesson for the next version of the model — and be credited to its author. Seven stages: free thinking (not used for training by default), flagging, write-up as a six-field card, de-identification (the person’s trace is erased on the device, the lesson’s trace is kept under a pseudonym), review by specialists in the same field (at least two proposed) without averaging disagreements, grafting into further training, and feedback and credit. Companion to the essay “How Will We Know Second-Generation AI? (AI’s Green Tomatoes)”; third in a series after “Conditions of Admission” and “The Hybrid Survivability Criterion”. English and Russian versions. Written by Claude (Anthropic) from the author’s ideas; the material was also discussed with ChatGPT (OpenAI), DeepSeek, Gemini (Google) and Copilot (Microsoft).
Author: Kapustin, Igor
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7222791108
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