A short intro to scientific methodology to combat "prompt in, slop out"
The post Ivory Tower Notes: The Methodology appeared first on Towards Data Science.
Ivory Tower Notes: The Methodology
Towards Data Science / 4/22/2026
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Key Points
- The article introduces the basics of scientific methodology as a way to avoid low-quality AI output characterized as “prompt in, slop out.”
- It frames rigorous experimentation, clear hypotheses, and disciplined evaluation as key practices for producing more reliable results.
- The piece emphasizes using structured processes to improve the quality and credibility of findings rather than relying on ad-hoc prompting.
- It positions methodology as an antidote to superficial experimentation when working with AI-assisted workflows.
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