Just now, a debate broke out between Chinese and American robots.

A “no acceleration, no remote control” robot video has surprisingly made Silicon Valley bigwigs restless Recently, a robot video from a Chinese startup has caused a global sensation. What's even more interesting is that this video not only showcases astonishing technological prowess, but also unexpectedly sparked a “real versus fake” debate across the Pacific. Sino-US Robots Spark a “Debate” Just recently, a video has blown up in tech circles both domestically and internationally. The protagonist of the video is a humanoid robot from China. It can water plants, throw away trash, tidy up toys, and play frisbee with children, all with remarkably smooth movements. More critically, the publisher—a Shenzhen-based startup called “MindOn Tech”—emphasized that the entire process was “no acceleration, no remote control,” and completed entirely by the robot autonomously. This newly established company also has a noteworthy background: its founder comes from Tencent. The hardware they use is the G1 humanoid robot from another Chinese company, Unitree Robotics. “It's fake!” American CEO questions publicly The video, like a huge rock thrown into a calm lake, quickly stirred up waves. Its popularity soon attracted attention from across the ocean. Some American netizens directly tagged Brett Adcock, founder and CEO of “the American Unitree”—Figure—on social media platform X, asking, “Is this real?” The CEO's response poured cold water on the heated debate: It looks like an open-loop playback RL controller (meaning it moves blindly without perception and is running in an open-loop playback mode). Then at the end, when they grab objects (indicating perception in the loop), they remove the “no remote control” mark from the bottom right of the video and use manual remote control. Brett Adcock seems to generally harbor skepticism towards Chinese robot companies' achievements. Previously, he openly questioned another Chinese robot company, UBTECH, bluntly stating: UBTECH’s mass production delivery videos are “fake robots,” most likely CGI. With UBTECH's case as a precedent, when MindOn’s video became a hot topic again, skepticism was reignited. Thus began a debate over “whether Chinese robot videos are real or fake”. A “Real or Fake” Debate Facing doubts, supporters also produced evidence. Some netizens quickly released a backup recording from a different angle to prove the video's authenticity. An American tech blogger named Mike Kalil even published a long article detailing why he believed MindOn’s video “was not faked”. Kalil said that behaviors shown in the video such as serving water, climbing onto a bed, and interacting with children, though impressive, already have precedent in academic research (such as papers like ResMimic, HDMI, OmniRetarget). What MindOn did was outstanding integration and engineering of these cutting-edge studies. Kalil summarized that MindOn’s technology most likely integrates several advanced achievements from recent robot research, such as enabling robots to train millions of times in simulated environments using imitation learning and reinforcement learning, then transferring these learned abilities to physical robots. Debate Behind the Scenes: The Emergence of Route Contention The intensity of this cross-border debate rivals that of the robots themselves. But, for investors, the bigger question is: If this is real, what does it mean? One analyst pointed out sharply: If software systems like MindOn’s can achieve truly general-purpose functions on mass-produced, relatively affordable hardware like Unitree’s G1, then they could pose a serious threat to companies such as Figure AI, 1X Technologies, and Tesla. Currently, major American players such as Figure and Tesla mostly follow the “integrated software and hardware” vertical integration route. They not only develop the “brains” (AI software) of the robot, but also design and manufacture its “body” (hardware). It’s like Apple designing the iOS system and making the iPhone itself. This model’s advantage is high integration and quality experience, but R&D costs and product prices remain high. MindOn’s video, however, shows another possibility: "The Android Model." In this model, AI software (the brain) and robot hardware (the body) can be decoupled. Companies like MindOn focus on developing the strongest “brains,” while the hardware can be left to companies like Unitree, which have achieved mass production at lower costs. If this model succeeds, the competitive landscape of the humanoid robot industry will be completely reshaped. The key of competition will shift from “who can build a better robot body” to “who can develop a smarter robot brain". Meanwhile, the hardware integration strategy currently relied upon by American companies will be challenged. When inexpensive hardware platforms can also achieve advanced autonomous intelligence, the barriers of costly customized hardware will no longer be as solid. The market may tilt toward a more open and flexible ecosystem, where software can run on any hardware. It’s like the smartphone market—if Android had matured before the launch of the first iPhone, today’s market landscape might be completely different. From this perspective, the “real or fake” video debate is essentially a prelude to the collision of two technical routes and two business models. The anxiety of the American CEO may not be unfounded. What he sees might be a highly disruptive “Android moment” quietly brewing in China. In any case, the competition in humanoid robotics has entered the boiling stage. And Chinese companies, from hardware manufacturing to software intelligence, are joining the global showdown at an unexpected speed. Risk Warning and Disclaimer The market has risks, and investments must be made with caution. This article does not constitute personal investment advice, nor does it take into account individual users’ specific investment goals, financial conditions, or needs. Users should consider whether any opinions, views, or conclusions in this article suit their particular circumstances. Invest accordingly at your own risk.