A Reddit post is making the rounds, and everyone is having a good laugh. A girl cheerfully reports that she gave Claude access to her Bluetooth sex toys. Now, during sexting, the neural network itself decides when, how long, and with what intensity to activate the vibration.
Most people are giggling about the robot uprising and "AI boyfriends." But let's look under the hood.
Open the Signal Bridge Remote source code. The girl, who explicitly says in the post "I'm not a developer," designed, wrote, and deployed a distributed cyber-physical system using Claude itself:
1️⃣ A
FastAPI server acting as an MCP (Model Context Protocol) endpoint for Claude.2️⃣ A sensible architecture with JWT authentication, rate limits, and progressive IP bans (protection against scanning).
3️⃣ A relay hub over WebSockets that forwards commands from the VPS to the mobile device.
4️⃣ A local Android client (via Termux) that translates commands into the
Buttplug.io protocol (yes, it's a real open-source standard for intimate hardware) and controls the hardware via Bluetooth.Claude isn't just generating text here. It has registered tools like
pulse, escalate, vibrate, and read_battery. The LLM analyzes the dialogue context and calls the appropriate function, passing intensity and pattern parameters.And there's even a full-fledged dead man's switch: if the WebSocket disconnects, the hardware immediately stops via the local hub's timeout.
While courses make you write the 100500th TODO list in Django, people are solving their basic needs by integrating LLMs into the physical world with fault tolerance requirements.
I don't even know what impresses me more: how quickly the MCP protocol was adapted for remote masturbation, or that the code generated by an LLM to control a vibrator is architecturally more logical and fault-tolerant than the microservices in some fintechs.
#good_opensource
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