Tesla pide a sus trabajadores que enseñen a trabajar a Optimus y no todos quieren hacerlo

Tesla has asked some of its workers to record their movements to train its humanoid robot, Optimus, which has sparked strong resistance. This rejection is not due to laziness, but rather an intuitive understanding that workers are providing the knowledge necessary for automation to replace their own jobs. By teaching the machine, people facilitate their own obsolescence, creating a dynamic of conflict between technological development and job security. In response to the unrest, the company has adapted its strategy by shifting data collection to specific personnel and new training centers, but the ethical dilemma remains. The current reality of the robot reveals that, despite the ambition to achieve mass production, Optimus still relies on manual assembly and constant corrections. This demonstrates that, although software advances, physical complexity and the need for human intervention remain significant obstacles to fully automated and spontaneous processes. This case is relevant to the field of open data because it illustrates the crucial value of tacit and unstructured knowledge. The physical movements and practical experiences of workers are the essential raw material for imitation learning in robotics. However, the exploitation of this "live data" without fair compensation raises questions about who owns and benefits from datasets derived from work processes, highlighting the need to consider ethics in the collection and use of information from the people performing the tasks.

Source: que.es
Published on 2026-10-01

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Tesla pide a sus trabajadores que enseñen a trabajar a Optimus y no todos quieren hacerlo

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