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People are using AI to make smart TVs, dumb TVs

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People are using AI agents and shared GitHub toolkits to strip smart TVs of onboard ads, tracking and manufacturer bloat, replacing slow launchers with simple app-focused home screens. Projects such as dumbtv (by Muzzammil Yasin Sabuwala) and cleanyourtv (by Gathin T.) automate discovery of TVs on a home network and remove unwanted packages or swap launchers over Wi‑Fi without requiring root, with the authors demonstrating success on Fire TV Edition and many Android/Google TV sets from Sony, TCL, Philips, Hisense, Xiaomi and Shield. Developers report using large models and multimodal agents - Claude Code, Claude Opus/Sonnet variants and Deepseek V4.1 Flash - to generate the steps, and users have posted viral demos showing faster, ad‑free interfaces after running the prompts.

The movement is driven by frustration with automatic content recognition, built‑in ads and data collection, and could reduce the smart‑TV ad industry’s ability to sell viewing data or surface sponsored content. Workflows are still experimental: some users report smooth changes and easy reversions, while others have broken systems or bricked devices after AI agents disabled critical packages. Contributors plan ongoing maintenance and broader model support, and safer alternatives remain available in standalone launchers like ATV Launcher, Projectivy and FLauncher.

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