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<\/figure>\n\n\n\nThe main reason is economic: AI training requires enormous amounts of labeled and recorded video, and doing so in environments where labor costs are lower allows these projects to scale much more quickly. In some cases, it is estimated that an hour of recording can cost just a few dollars.<\/p>\n\n\n\n
This has turned certain workers into \u201cdata generators\u201d for global artificial intelligence. Their everyday actions\u2014whether in factories, workshops, or domestic settings\u2014are transformed into training material for robots that, in the future, could operate anywhere in the world.<\/p>\n\n\n\n
This is a technological revolution with social implications, and this advance opens a profound debate. On the one hand, physical AI promises more useful robots, capable of assisting with dangerous, repetitive, or physically demanding tasks. It could improve productivity, reduce workplace accidents, and free people from mechanical work.<\/p>\n\n\n\n
But it also raises an uncomfortable question: who really benefits from this technology? Large technology and manufacturing companies have access to massive amounts of data at low cost, allowing them to develop increasingly sophisticated and efficient systems. However, the workers who generate this data do not always share proportionally in the final profits.<\/p>\n\n\n\n
This forces us to reflect on the concept of value in the age of artificial intelligence. If the knowledge that teaches robots comes from human labor, how should that value be redistributed?<\/p>\n\n\n\n
How do technology, progress, and social justice intersect? Technological development is neither inherently positive nor negative. Its impact depends on how it is used. Physical AI can be an extraordinary tool for human progress, but it can also amplify existing inequalities if not managed properly.<\/p>\n\n\n\n
It is not enough to lift people out of poverty. The real challenge is to guarantee decent living conditions, opportunities for development, and fair participation in the benefits of innovation.<\/p>\n\n\n\n
In this context, ideas such as \u201cdata dignity\u201d and fair compensation for human contributions to AI systems emerge. These are not fixed concepts, but they are signs that technology needs to be accompanied by profound ethical reflection.<\/p>\n\n\n\n
The history of robotics and artificial intelligence is still being written. And its ultimate direction will depend not only on what machines are capable of doing, but also on the social decisions we make today.<\/p>\n\n\n\n
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Views: 0 La rob\u00f3tica est\u00e1 entrando en una fase decisiva. Durante d\u00e9cadas, ense\u00f1ar a un robot a realizar tareas humanas ha sido un proceso complejo, r\u00edgido y extremadamente costoso. Hoy, sin embargo, est\u00e1 emergiendo un nuevo paradigma: la IA f\u00edsica, un enfoque en el que los robots aprenden observando directamente a las personas mientras trabajan, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[128,132,153,116,118,102,135],"tags":[],"class_list":["post-4846","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence","category-ethics","category-industry","category-robotics","category-robots","category-society","category-technology"],"yoast_head":"\n