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Gemini’s Personal Intelligence can use a connected Google Photos library with Nano Banana 2 to generate images that reflect your photos, improving relevance but raising privacy and UX risks.
Learn how to build a group-chat AI that 'reads the room' and stores facts only for users who witnessed them. Includes design, prototype steps, and privacy trade-offs.
OpenRouter lists Hunter Alpha as a 1T-parameter model with a 1,048,576-token context. Prompts and completions are logged - read how this affects cost, privacy, and operations.
Practical guidance for employees and managers on deploying Claude Dispatch: which repeatable tasks to automate, data and safety checks to run, and how to structure a limited pilot.
Step-by-step playbook to launch one small, opt-in AI feature that lowers surprise and harm: one-line value claim, a visible failure example, limited data use, and a short pilot.
Agentlore watches local agentsview session logs, masks secrets, and syncs indexed AI coding-agent conversations to ClickHouse — linking chat transcripts to commit SHAs and PR URLs.
Run a reversible pilot of Personal Intelligence across AI Mode in Search, the Gemini app, and Gemini in Chrome for U.S. accounts. Includes 90-minute setup, key metrics, and rollout gates.
Ring's Super Bowl 'Search Party' ad prompted a privacy backlash. We explain how a pet‑finding pitch can enable people‑search, outline law‑enforcement ties, and offer practical checklists.
A lab study shows automated AI agents can combine reused usernames, images and profile fields to sometimes link throwaway Reddit, finsta or Glassdoor accounts to real identities.
ClawGuard’s AdNet injects sponsored prompts and multimodal assets into AI agents' context windows, claiming 47% agent-action; read practical risks, validation steps, and a checklist.
A privacy-first iOS app demo that rewrites, summarizes, and extracts key points entirely on device using Apple Foundation Models. Includes SwiftUI app and Share extension that work offline.
Numerama's investigation shows Alpha School’s AlphaRead generates faulty lesson plans and hallucinatory MCQs, copies third‑party materials and collects pervasive student telemetry.