Early Experiments in Chaos Injection for Emergent Agents in Large Language Models: A Case Study from 2022
Abstract
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.
Fields of Study & Subjects
Topic Modeling
Natural Language Processing Techniques
Ethics and Social Impacts of AI
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 10 February 2026
- Language
- EN