Early Experiments in Chaos Injection for Emergent Agents in Large Language Models: A Case Study from 2022
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.
Prompt Engineering, Error-Driven Learning, Large Language Models, Agency Emergence, GPT-3, Stochastic Oscillation, Emergent Agents, Chaos Injection, 2022 Experiments
Prompt Engineering, Error-Driven Learning, Large Language Models, Agency Emergence, GPT-3, Stochastic Oscillation, Emergent Agents, Chaos Injection, 2022 Experiments
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