Episode notes
The digital world is quietly building a version of you that might know you better than you know yourself. Over 35% of what people watch on Netflix and 75% of content consumed on TikTok comes from algorithmic recommendations, not direct user searches. This digital doppelgänger exists across platforms, learning from your every click, pause, and scroll to predict what you’ll want next.
Key Takeaways
- The average person’s digital behavior generates over 3,000 data points daily, creating your “algorithmic self”
- Personalization algorithms follow a four-stage process: data collection, pattern recognition, prediction modeling, and content delivery
- While AI curation offers convenience and discovery, it also creates filter bubbles that limit ...
Keywords
AI curated life, algorithmic influence, personalization technology, AI in daily life, data privacy concerns, tech ethics