The Economics of Training Data and Why User Conversations Are Valuable
User conversations beat licensed publisher data because they're fresh, authentic, and self-labeled.
Tomasz Wierzbicki
Staff Writer, Privacy Architecture
Tomasz Wierzbicki is a former systems engineer who transitioned to technology journalism after a decade building data infrastructure at European fintech firms, giving him an unusually technical lens on how privacy guarantees are designed—or quietly abandoned—at the architectural level. He holds a graduate degree in computer science from Wrocław University of Technology.
3 stories
User conversations beat licensed publisher data because they're fresh, authentic, and self-labeled.
AI conversation data reveals purchase reasoning that search and social never could capture.
AI systems quietly infer sensitive personal details from everyday conversation patterns.