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OpenAI is recruiting hardware talents, and the "ultimate battle" for embodied intelligence has begun. From initially only providing large model "brains" for third-party robots, to now personally doing the hard work, OpenAI's layout in the field of robots is ushering in an epic increase.
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Source: Telegram AI频道
OpenAI is recruiting hardware talents, and the "ultimate battle" for embodied intelligence has begun. From initially only providing large model "brains" for third-party robots, to now personally taking on the hard work, OpenAI's layout in the field of robotics is ushering in an epic increase! According to the latest public recruitment information, the OpenAI official website has released 19 core positions related to Robotics at one time. This recruitment is no longer limited to the previous algorithm and software levels, but extends to robot hardware, control systems and manufacturing links - covering full-link positions such as motor design, actuators, electrical engineering, manufacturing and data acquisition systems. In this regard, OpenAI officials bluntly pointed out in the recruitment instructions that the team’s goal is to create a “universal robot” that can adapt to dynamic real environments and simultaneously explore diverse hardware forms. An eye-catching detail is that the recruitment information for the field engineer position revealed that multiple robot workstations have been built and run in the data collection environment of OpenAI, indicating that the research and development has already entered the practical training stage. OpenAI CEO Sam Altman also gave a hammering message in a previous podcast: OpenAI will not only make humanoid robots, but will also actively explore other forms of robot products. With the parallel development of software and hardware and the full rollout of real-world data training systems, large-scale model giants are taking it upon themselves to "shape the body." The era of embodied intelligence in which AI and the physical world interact seamlessly may come faster than we imagine! via AI News (author: AI Base)