Intuition in AI
Read OriginalThe article advocates for developers to read the literal inputs and outputs of AI systems to build deep intuition, arguing that over-reliance on test metrics can miss critical failures or poor-quality successes. It shares the author's experience at Gradient Labs, where reading hundreds of conversations is a core practice to understand user needs and improve AI agents, complementing traditional scientific evaluation methods.
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