Data Ethics Podcast Summaries

Data Ethics on Yedapo: 1 summarized podcast and YouTube episode. Each includes key takeaways, core concepts and notable quotes with timestamps.

How to train your data | The Vergecast
The Verge
Jun 25, 2026
AI models are defined more by their source data than their architecture, yet the origin of this data remains a fiercely guarded secret. The shift from academic research to high-stakes commercial exploitation has fueled a data-mining gold rush that relies on questionable scraping practices and the commoditization of human creativity.
Key insight: The phenomenon of 'model collapse' suggests that training AI on its own synthetic outputs leads to rapid quality degradation, proving that human-generated data remains irreplaceable for innovation.