Early Experiments in Chaos Injection for Emergent Agents in Large Language Models: A Case Study from 2022

This record contains the original 2022 mind maps and documents detailing early experiments with GPT-3, where controlled chaos injection (error prompts, semantic triggers like "zero absoluto", "inverno branco quietude") was used to induce emergent agent behavior in LLMs. These user-driven tests predate formal publications on stochastic prompting and error-driven agency, serving as foundational evidence of grassroots influence on modern AI patterns.