Ivory Tower Notes: The Methodology

The rise of generative AI has led to a problem of low-quality, unverified content, or 'AI slop.' To combat this, data and AI projects should adopt a rigorous scientific methodology, starting with a specific problem and a testable hypothesis. This process involves designing experiments, such as a proof-of-concept to compare ML platforms, by manipulating independent variables while controlling others to measure outcomes like cost and accuracy. Ultimately, making data-driven conclusions from these tests is crucial for objective decision-making and building genuine expertise.