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During the 26th Industrial Fair, Wang Xingxing, founder of Yushu Technology, said that AI technology is currently progressing very rapidly around the world, and there are major updates every month or two. In particular, after GPT-6 was released some time ago, the awareness of practitioners in the entire physical intelligence industry has also increased greatly. “We tested it on various robots for various tasks, and the results were actually very good. Personally, I feel that the whole tipping point will arrive relatively fast. If it is sooner, it may even be within a year or two, because GPT-7 comes out next year, it may directly overcome the problem of physical intelligence. At present, our company and other robotics companies are piloting in factories. Indeed, large-scale applications are currently needed. Both generalization and efficiency need to be further improved. But I think it's very likely to be solved in the next few years, and my personal belief in AI is growing day by day every year. The biggest mistake I've made in the past ten years is that I don't have enough faith in AI. For example, the implementation of commercial services may be faster than in the industrial sector.”
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During the 26th Industrial Fair, Wang Xingxing, founder of Yushu Technology, said that AI technology is currently progressing very rapidly around the world, and there are major updates every month or two. In particular, after GPT-6 was released some time ago, the awareness of practitioners in the entire physical intelligence industry has also increased greatly. “We tested it on various robots for various tasks, and the results were actually very good. Personally, I feel that the whole tipping point will arrive relatively fast. If it is sooner, it may even be within a year or two, because GPT-7 comes out next year, it may directly overcome the problem of physical intelligence. At present, our company and other robotics companies are piloting in factories. Indeed, large-scale applications are currently needed. Both generalization and efficiency need to be further improved. But I think it's very likely to be solved in the next few years, and my personal belief in AI is growing day by day every year. The biggest mistake I've made in the past ten years is that I don't have enough faith in AI. For example, the implementation of commercial services may be faster than in the industrial sector.”
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