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After “Little” Duck became popular, there is still a bigger problem with end-side AI.

2026-09-03 13:56 Chips & Hardware 🔥 42.2 heat score
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SummaryAI generated

End-side AI technology has received attention with applications like Xiaoya, but its development still faces key challenges such as computing power, power consumption, and model optimization. To achieve practical application, it is necessary to address bottlenecks in hardware compatibility and operational efficiency.

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Key entitiesKEY ENTITIES
China MobileGreat WallHoumo IntelligenceLenovoM50MicroduckPollen Robotics

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China Mobile × Great Wa…1China Mobile × Houmo In…1China Mobile × Lenovo1China Mobile × M501China Mobile × Microduck1Great Wall × Houmo Inte…1

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Keyword heat
  • Pollen Robotics1
  • Microduck1
  • Houmo Intelligence1
  • M501
  • Lenovo1
  • Great Wall1
  • China Mobile1

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雷锋网 zh 2026-09-03 13:56

After the "small" duck became popular, the end-side AI still has a larger issue.

# After “Little” Duck became popular, there’s a even bigger issue with edge-side AI Recently, a robot duck only 25 centimeters tall unexpectedly brought the imagination of edge-side AI into the spotlight. Pollen Robotics, under Hugging Face, released Microduck, an open-source bipedal robot priced at $399. It weighs about 800 grams and can walk, sit down, kick a ball, and grasp objects upon opening the box. It can even get up again after falling. More importantly, it’s not just a moving toy; it’s an open-source robotics platform for developers: users can train action strategies in simulation environments and then deploy them on real robots. This “little duck” attracted attention not only because it’s cute and affordable, but also because the robot has finally entered the desktop environment of ordinary developers. What it truly signals is that AI is moving from models on screens to physical devices that can perceive, act, and interact. Over the past few years, when people talk about AI, they often discuss…