Local intelligence for
smarter filtering
FilterTube already works through explicit rules. A future local semantic layer could add broader matching, clearer suggestions, and possible thumbnail checks without giving up the product’s local-first trust model.
Research track
ML & AI
Research track
A local layer that helps rules catch more of what users already mean.
How a future local intelligence layer could extend FilterTube without pushing user behavior into the cloud.
Today
Explicit rules
Current filtering already starts with user-owned channel, keyword, Shorts, comments, and profile rules.
Next layer
Semantic help
Local semantic matching could broaden what those existing rules catch without replacing them.
Later research
Thumbnail checks
Visual analysis stays in roadmap language until there is a local, explainable version worth shipping.
ML and local intelligence
How to read the ML direction
FilterTube already works today through explicit rules. A future local intelligence layer would extend that system without changing the privacy posture.
What exists today
FilterTube already filters through explicit rules. That current foundation stays central here.
What is being explored
Semantic matching, rule suggestions, and later thumbnail checks belong to the research track, not the shipped claim.
Why local matters
Any smarter filtering direction only fits FilterTube if it stays explainable, on-device, and under user control.
Available now and next
What is live and what comes next
- Current release: keyword, channel, Shorts, comments, whitelist, and profile controls already work in FilterTube today on desktop browsers.
- Research track: local semantic matching and suggestion support could extend those rules without sending user behavior to the cloud.
- Later-stage exploration: thumbnail analysis only belongs in the roadmap until a local, explainable implementation is real.
Keep exploring
Keep exploring FilterTube.
From here, continue with Kids and Mobile overview.