A well-known engineer shared an unusual method for speeding up an old television. A specialist from Refik Anadol studio used a neural network for optimization. Mert Çobanov posted about his experiment on social media. The developer connected artificial intelligence to the device via the ADB protocol. The Claude Code neural network independently handled all the complex technical work. The engineer described the result as absolutely incredible and fast. The user only needed to enable developer mode on their TV. After that, the smart agent took full control.
The neural network successfully disabled numerous unnecessary pre-installed system applications. The program then installed a convenient alternative launcher called FLauncher. The artificial intelligence also noticeably reduced the duration of standard system animations. Root access was not required to perform these actions. Çobanov claims the TV runs more smoothly than it did four years ago. This problem is well known to many owners of modern Android TV devices. Manufacturers often cut costs on processors and RAM. Even a brand-new TV frequently lags during ordinary daily use. Interface responsiveness drops even further after regular system updates.
This is precisely why there is a huge market for external set-top boxes and streaming sticks. Purchasing an additional device adds unnecessary complexity to a home setup. The developer compiled a short guide on a dedicated thematic website. The entire detailed cleanup is described in four simple, easy-to-understand steps. At the end, the full prompt text for the Claude Code neural network is provided. This scenario also works well with the alternative Codex model. The guide includes important warnings about user data security. Applications are not deleted entirely but are only temporarily deactivated by the system. Any change made can be easily reversed at any time.
The smart agent keeps a detailed log of all disabled system components. The user simply needs to ask the neural network to re-enable all deactivated programs. The guide also separately describes how to restore a specific application the user needs. This is not the first case of using a neural network for unconventional tasks. Previously, enthusiasts modified a laptop's BIOS using this tool. They bypassed strict RSA signature verification and unlocked hidden settings. The developers were able to access fifty-five hidden settings in the old firmware. Neural networks are gradually making their way into every aspect of people's daily lives. Ordinary users are gaining powerful tools for optimizing their devices.