The wave of "vibe-coding" with generative AI assistants has reached the living room — or more precisely, the television set. Over the past 72 hours, hundreds of users have shared videos on social media showing how they used Anthropic's Claude Code to transform smart TVs cluttered with ads, bloatware, and data tracking into clean, fast, and paradoxically "dumber" devices.
The trend began with a tweet from developer Ryan Doyle on October 17, in which he described spending an afternoon reengineering his family's TV using only natural language prompts. According to his account, Claude Code automatically connected to the TV over Wi-Fi using the ADB (Android Debug Bridge) protocol, listed all installed packages, disabled 25 unnecessary applications, and wrote a minimalist launcher that replaced the ad-filled home screen with something resembling Apple TV's clean interface.
> "Vibe coded my parents' TV this afternoon!" Doyle wrote. "It was showing a sponsored ad before I could even get to Netflix. I gave Claude Code the model number, it found the TV over Wi-Fi, removed 25 Xiaomi packages, and wrote a new launcher. Now it looks like an Apple TV lol".
The response was immediate and massive. Within two days, thousands of people replicated the experiment on televisions from various brands — Xiaomi, TCL, Sony, Philips, Hisense, and even Amazon Fire TV — and shared their results on social media. The phenomenon has taken names on GitHub repositories: "tv-vibehack," "dumbtv," and "cleanyourtv" are some of the projects that package instructions and scripts so anyone can repeat the process.
But what really drives this silent rebellion against Smart TV software? And why is the combination of generative AI and home device debugging attracting so much interest?
The problem: when the Smart TV becomes an ad panel
Modern televisions are, technically, powerful computers. Most run a version of Android (Google TV), Amazon's Fire OS, or proprietary systems like LG's webOS and Samsung's Tizen. In terms of hardware, many entry-level machines have only 1.5 GB to 2 GB of RAM and quad-core processors from 2020–2021 — nothing extraordinary for a device that, at the time of purchase, was already considered mid-range or high-end.
What changed wasn't the hardware, but manufacturers' business strategy. With streaming subscription saturation and slowing smart TV sales growth, companies have discovered that the home screen space on Smart TVs — that screen that appears seconds after turning on the device — is a valuable asset. Sponsored banners, content recommendation rows, product suggestions in app stores: this is all revenue.
The technology behind this is called Automatic Content Recognition (ACR). Unlike what many imagine, ACR doesn't use the device's camera or microphone (in most cases). It extracts a "digital fingerprint" of the content displayed on screen — whether it's a frame from a movie, a broadcaster's logo, or even the screen of a video game — comparing it in real time with proprietary databases. The result is that the manufacturer knows exactly what each user is watching, when, and for how long, and can sell that data or insert contextual ads.
The problem is that ACR comes enabled by default. Disabling it requires navigating technical menus, and sometimes the option simply doesn't exist on entry-level firmware. For the user, this means the device not only steals a slice of the screen with ads, but also continuously collects usage data — a growing point of tension in discussions about domestic digital privacy.
In September 2026, LG Electronics issued an official statement clarifying ACR use and asserting that tracking features are optional — but the very fact that such a statement was needed indicates the level of public suspicion.
How the AI-powered "debloat" works
The trick itself isn't new: advanced Android users have been using ADB to uninstall system packages for years, a process known as "debloating." What changed is accessibility.
With Claude Code, the user doesn't need to know shell, doesn't need to memorize commands, doesn't need to understand the Android package structure. They just copy the device model, paste it into the assistant, and say "clean up this TV." The model automatically generates the sequence of `adb connect <IP>`, `pm disable-user --user 0 <package-name>` commands for each unwanted package, and even a minimal launcher in XML.
Some important technical details: the process doesn't require root access or modify the device's firmware. The `pm disable-user` command disables packages — it doesn't uninstall them — which means the operation is theoretically reversible. Simply run `pm enable` again. However, as several users have reported, the AI can make mistakes: disable critical packages, break HDMI input, or in some cases leave the device in an unstable state. One X user reported having "bricked" their Android TV using Claude.
The creator of the dumbtv repository, Muzammil Yasin Sabuwala, was clear that the solution was designed to be safe: he tested the process end-to-end on TVs running Fire OS 7.7.1.7 (based on Android 9) and on Google TV platforms from several manufacturers. The premise is straightforward: the device is already yours. You paid for the hardware. The rest should just be whatever you choose to use.
What this means for the ecosystem
The phenomenon of Smart TVs being "dumbed down" doesn't happen in a vacuum. It is part of a broader wave of users taking control of home devices that traditionally came with closed ecosystems and manufacturer-imposed software.
The Smart TV market is enormous — 2025 estimates place its global value at around US$260 billion, with projections to exceed US$920 billion by 2035. But that market includes hardware. What companies increasingly sell is attention: ads on the home screen, streaming recommendations, usage data. When subscription revenue from services doesn't grow at the desired pace — as PwC noted in its Global Entertainment & Media Outlook - advertising on the TV screen becomes the next monetization frontier.
The numbers are striking: according to PwC, global advertising revenue should exceed US$1 trillion in 2026. And about 28% of that will come from streaming — a jump from 20% in 2023 to 28% in 2028. Connected TV (CTV) is particularly hot: online ad sales during video programming should double from US$20.5 billion to US$41.2 billion in that period.
If the "debloat" trend spreads to the mass market — which seems plausible given the number of people who have already replicated the methods — it could create a real effect on the Smart TV ad economy. This is no longer a niche of advanced users configuring DNS blockers; it's thousands of ordinary people, with no technical background, using AI to remove everything they consider unnecessary from their own hardware.
What makes the story even more interesting is that manufacturers are simultaneously accelerating AI integration into their products. Samsung, for example, expanded its Vision AI Companion in 2026, a system that integrates Bixby, Perplexity, and Microsoft Copilot to make the user experience "smarter." LG introduced a Gemini-powered recommendation engine on Google TV. Instead of more AI in the TV, however, users are using AI to take AI out of the TV.
The irony doesn't go unnoticed. The same technology manufacturers expect to make their devices smarter and more ad-selling is being used by consumers to make devices simpler, more private, and yes, dumber — exactly as they were ten years ago, when a TV was just a TV.
Sources: TechCrunch, ItsFOSS, PCMag
✓ Independent sources cross-checked and verified before publishing
