An intuition for how neural nets can understand text
Summary
The article is a personal blog post exploring how tech platforms personalize experiences and collect data, using everyday examples of localized experiences, ads, and recommendations. It argues that machine learning systems infer user preferences from a wide range of signals and questions the transparency and fairness of data collection practices.