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THE DAILY INDEX

Technology, AI, software, security, crypto and business

ARTICLES & TUTORIALS

TLDR Web Dev

HOW META ENFORCES PURPOSE LIMITATION VIA PRIVACY AWARE INFRASTRUCTURE AT SCALE

Meta's Privacy Aware Infrastructure (PAI) is a large-scale initiative designed to enforce purpose limitation. PAI's key component, Policy Zones, provides a comprehensive mechanism for encapsulating, evaluating, and propagating privacy constraints for data in transit and at rest. Its integration across various Meta systems, including function-based and batch-processing systems, makes sure that data is only used for its intended purpose.

5,000X FASTER CRDTS: AN ADVENTURE IN OPTIMIZATION

This developer was able to optimize CRDTs (Conflict-Free Replicated Data types) for collaborative editing by 5,000x. They started with a simple data structure change using a flat list instead of a tree. Then they adopted a bidirectional linked list and run-length encoding, leading to a 30x speedup compared to the original Automerge implementation. Finally, by using Rust's memory control capabilities and a range tree data structure, the developer achieved a 5,000x speedup, demonstrating that CRDTs can achieve performance comparable to native strings.

ACCURATE PROXY METRIC EVALUATION

Netflix researchers developed methods to analyze historical A/B test data to understand the relationship between proxy metrics and long-term business outcomes. They propose three estimators that offer more robust solutions for understanding the true relationship between proxy metrics and north star metrics: Total Covariance (TC), Jackknife Instrumental Variables Estimation (JIVE), and Limited Information Maximum Likelihood (LIML).

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