Why Open-Weight AI Models Matter for Privacy
Open-weight AI models do not guarantee privacy, but they make it possible to build AI systems with more control over where sensitive data is processed.
Open-weight AI models do not guarantee privacy, but they make it possible to build AI systems with more control over where sensitive data is processed.
A Stanford study found that psychiatrists often disagree about whether AI mental health responses are safe. Here is what that means for AI therapy.
A practical guide to AI journaling: prompts, coaching, summaries, long-term memory, privacy models, limitations, and how to choose a trustworthy app.
Build a private digital journaling practice by choosing a threat model, securing devices and backups, evaluating sync encryption, and controlling AI access.
Understand journal E2EE, how it differs from HTTPS and encryption at rest, what metadata can remain visible, and how to verify an app's claims.
How confidential AI protects journal prompts during inference using attested enclaves and encrypted HTTP bodies—and which metadata and risks remain.
Journaling prompts can reduce blank-page friction, but they can also make writing performative or repetitive. Learn when to skip them and which alternatives work.
Start journaling with a five-minute method, realistic privacy choices, and a weekly review—without elaborate prompts, streaks, or pressure to write beautifully.
Compare seven private journaling apps by end-to-end encryption, local storage, platform support, source availability, AI processing, and documented limitations.
We tested seven AI journaling apps for writing experience, long-term memory, privacy, platforms, and price. See which app is best for each use case.
A cautious review of research on expressive writing, gratitude lists, stress, sleep, and health—including null results, small studies, and limits on what we can conclude.