EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·29d ago·5 min read
Session Context — what a web page knows about you
TL;DR
Web pages can gather significant information about users without their consent, using entropy to distinguish individuals. This raises privacy concerns as the data collected can be highly specific.
✦ Why It Matters
Review your web tracking policies to ensure user privacy and compliance with regulations.
Key Takeaways
- Understand how entropy is used to identify users online.
- Evaluate the effectiveness of current tracking methods in your applications.
- Implement stricter privacy measures to protect user data.
- Stay informed about browser updates that affect tracking capabilities.
Full Summary
Web pages can analyze various signals to determine unique characteristics of users, often without their explicit permission. Entropy, a measure of unpredictability, is used to differentiate individuals; for instance, 19 bits can identify one person among half a million.
Researchers found that the strongest signal from desktop browsers in 2016 contributed only 16.9 bits of entropy, indicating a decline in the effectiveness of certain identifiers over time. Notably, browsers have since limited the plugin list to enhance user privacy, which has diminished the value of these signals.
The findings highlight the tension between user tracking for personalization and the need for privacy protection.