The author tested four different language models, including Qwen 4B, Mistral 24B, Mistral 30B, and a 1B model, in an attempt to improve a self-improving AI agent's prompts. Despite extensive testing with thousands of LLM calls, none of the models were able to generate promotable edits. The author concluded that the issue was not with the capability of the models themselves, but rather with the search strategy employed by the agent, as all models converged on similar, ineffective edits. AI
IMPACT Highlights limitations in current AI agent search strategies, suggesting a need for innovation beyond simply increasing model size.
RANK_REASON The item is a personal blog post reflecting on a technical challenge and its resolution, rather than a formal research paper or product announcement.
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