AI D​A​M​N/Xiaomi's New AI Assistant Learns Your Habits to Smartify Your Home

Xiaomi's New AI Assistant Learns Your Habits to Smartify Your Home

Xiaomi's Smart Home AI Just Got Smarter

Imagine walking into your living room and having your lights adjust perfectly as your AI assistant compliments your outfit. This isn't science fiction anymore - Xiaomi's latest innovation makes it reality.

The Brains Behind the Operation

The tech giant has released MiMo-VL, a cutting-edge multimodal AI model packing 7 billion parameters. Hosted on Hugging Face and GitHub, this powerful foundation drives their new Miloco smart assistant. What sets it apart? Unlike basic voice assistants, Miloco actually watches and understands what you're doing.

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Seeing Is Understanding

Through Mi Home cameras, Miloco recognizes:

  • Activities (reading, gaming, working out)
  • Gestures (thumbs up, victory signs)
  • Even whether you've kicked off blankets while sleeping

The system then automatically coordinates with:

  • Smart lights
  • Air conditioners
  • Music systems
  • Any Home Assistant-compatible device

"It's like having a personal butler who learns your preferences," explains Xiaomi engineer Li Wei. "The desk lamp turns on when you pick up a book. The AC adjusts if you're tossing blankets at night."

Try It Yourself (With Limits)

The company has made model weights and inference code publicly available under a non-commercial license. Tech-savvy users can deploy Miloco on Windows or Linux systems with NVIDIA GPUs using Docker containers.

But there's fine print: While open for experimentation, Xiaomi retains intellectual property rights and prohibits commercial applications. "We want to foster innovation," says spokesperson Zhang Min, "while protecting our core technology."

The release puts Xiaomi in direct competition with Google's Nest Aware and Amazon's Astro systems - but with an open-source twist that could accelerate smart home development worldwide.

Key Points:

  • 7B parameter MiMo-VL model powers new Miloco assistant
  • Uses camera input to recognize activities/gestures in real-time
  • Automatically controls lights, AC, music via Home Assistant protocol
  • Open-source availability (non-commercial license only)
  • Requires NVIDIA GPU + Docker environment