Part 4/9:
This characterization is not only poetic but also relevant, as it underscores the inherent unpredictability of LLMs. Karpathy argues that software designers must consider these "people spirits" within their frameworks, advocating that human oversight is essential in validating AI outputs. He stresses that while AI can generate ideas, it is imperative that human evaluators remain in the loop to ensure accuracy and efficiency. To facilitate this, Karpathy proposes two primary strategies: simplifying validation processes and constraining AI outputs to prevent overwhelming human validators.