A Korean garlic farmer, who lacks formal coding skills, has developed a unique approach to building an "executing engine" using large language models (LLMs) and sandboxed code interpreters. By interacting with AI chat interfaces, the farmer structures ideas and runs them through a code interpreter to achieve executable results, emphasizing the importance of verifying real execution versus simulated outputs. This iterative process involves cross-checking results with multiple AIs to avoid hallucinations and ensure accuracy. Despite the challenges, the farmer finds value and insights in this experimental method, demonstrating how AI can empower individuals without technical expertise to engage in complex problem-solving and innovation. Why this matters: This highlights the potential of AI tools to democratize access to advanced technology, enabling individuals from diverse backgrounds to innovate and contribute to technical fields without traditional expertise.
