GPT 5.5 passed the ultimate intelligence test: hacking proprietary hardware
The creator reverse-engineers a Divoom Mini 2 retro Bluetooth speaker/screen by using a packet sniffer to capture Bluetooth traffic from the official app, then feeds those logs to GPT-5.5 (via Codex) to decode the protocol and display custom content on the screen.
Summary
In this short video, the creator showcases a Divoom Mini 2, a retro PC-style Bluetooth speaker with a small pixel display. Their goal is simple but technically interesting: bypass the official app and display custom content on the screen programmatically.
To accomplish this, they connected the device to a packet sniffer while using the official phone app to send images to the device. The sniffer captured the raw Bluetooth packets being transmitted, giving them a log of the proprietary communication protocol.
Those Bluetooth logs were then fed into GPT-5.5 (accessed through OpenAI's Codex), which analyzed the packet data and helped decode how the device communicates. The creator built a custom notify hook into their Codex configuration, so that when an AI task completes, it triggers a notification displayed on the Divoom screen.
The demo shows this working in real time: the creator types a simple prompt in the terminal, and when the response is ready, the Divoom screen displays a custom message ('Your move' — with a playful note that the 'e' was missing) and plays a beep sound. The creator expresses genuine excitement about the result, calling it life-changing.
Key Insights
- The creator used a packet sniffer to intercept Bluetooth traffic between the official Divoom app and the device, treating the proprietary protocol as a black box to be decoded rather than documented.
- The creator fed raw Bluetooth packet logs directly into GPT-5.5, demonstrating that LLMs can be used as protocol analysis tools for reverse engineering undocumented hardware communication.
- Rather than a standalone script, the creator integrated the Divoom display control into a Codex config as a notify hook, so the hardware screen becomes part of an AI coding workflow.
- The live demo confirms the system works end-to-end: a terminal prompt triggers Codex, which on completion pushes a custom message to the physical Divoom screen and plays a sound.
- The creator frames this outcome as genuinely transformative ('this is changing my life'), suggesting that using AI to decode proprietary hardware protocols dramatically lowers the barrier to hardware customization.
Topics
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