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“Dialogue with Shi Zhihang and Ding Wenchao: Refusing to Be “Simple Questions” for Robots”

2026-09-04 08:00 Industry & Investment 🔥 42.2 heat score
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In September 2026, the embodied intelligence company Itoshi Zhihang achieved a record of over a hundred sub-millimeter-level flexible wiring assemblies using the A1 robot, setting a new Guinness World Record. In April of the same year, the company received $455 million in pre-A financing. Founder and Chief Scientist Ding Wenchao stated that embodied intelligence should focus on flexible, dynamic, and long-distance task interactions, refusing to use simple scenarios as the starting point. The company has built a technical triangle consisting of data, general AI models, and core components, using a human-centered data collection approach and the AI World Engine (AWE) architecture, aiming to improve task success rate and efficiency. Ding Wenchao pointed out that the value of embodied intelligence lies in the task throughput per unit time, and true breakthroughs will occur when multiple tasks reach human levels simultaneously.

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Key entitiesKEY ENTITIES
Ding WenchaoGanzhi Light YearsHuaweiIt Shi Zhi Hang

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Entity relations
Ding Wenchao × Ganzhi L…1Ding Wenchao × Huawei1Ding Wenchao × It Shi Z…1Ganzhi Light Years × Hu…1Ganzhi Light Years × It…1Huawei × It Shi Zhi Hang1

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Keyword heat
  • It Shi Zhi Hang1
  • Ding Wenchao1
  • Ganzhi Light Years1
  • Huawei1

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甲子光年 zh 2026-09-04 08:00

“Dialogue with Shi Zhihang and Ding Wenchao: Refusing to Be a Robot’s ‘Simple Problem’”

The embodied intelligence company, Shi Zhi Hang, achieved over a hundred sub-millimeter-level flexible wiring assembly tasks using the A1 robot and set a new Guinness World Record. Subsequently, in April, it received $455 million in pre-A financing. Founder and Chief Scientist Ding Wenchao emphasized that embodied intelligence should focus on “flexibility, dynamics, and long-distance task interaction,” refusing to use simple scenarios as the starting point. The company proposes a technical triangle consisting of data, general AI models, and core components, using a human-centered data collection and AI World Engine (AWE) architecture, aiming to achieve both breakthroughs in task success rate and efficiency. Ding Wenchao pointed out that the measure of the value of embodied intelligence is the task throughput per unit time. The real “GPT moment” will occur when multiple tasks reach human levels simultaneously, rather than through a single demonstration effect.