![“Finally, we have surpassed the limits of robots!”… Exploring the astonishing mysteries of the world opened up by the “acquisition of vision” brought about by generative AI (Yoshihiro Taguchi) | Gendai Shinsho | Kodansha [Japanese] “Finally, we have surpassed the limits of robots!”… Exploring the astonishing mysteries of the world opened up by the “acquisition of vision” brought about by generative AI (Yoshihiro Taguchi) | Gendai Shinsho | Kodansha [Japanese]](https://peeperfrog.com/wp-content/uploads/2025/04/2025-04-28T220000Z8655237912file-1024x538.jpeg)
“Finally, we have surpassed the limits of robots!”… Exploring the astonishing mysteries of the world opened up by the “acquisition of vision” brought about by generative AI (Yoshihiro Taguchi) | Gendai Shinsho | Kodansha [Japanese]
By 田口 善弘 | Source: 現代ビジネス | Read the full article in Japanese
In the rapidly evolving world of artificial intelligence, a fascinating discussion has emerged about the nature of intelligence and the potential of AI. A renowned physicist challenges the common fear that AI might one day become self-aware and pose a threat to humanity. Instead, he argues that human and artificial intelligence are fundamentally different, and understanding this difference requires a deep exploration of what intelligence truly means.
The article delves into the complex world of robotics and AI, highlighting a key challenge in artificial intelligence research: acquiring common sense. Unlike complex calculations, understanding the nuanced context of the real world has been incredibly difficult for machines. This challenge, known as Moravec's paradox, suggests that simulating everyday knowledge is far more complex than performing advanced mathematical computations.
One of the most significant breakthroughs in recent AI development is the acquisition of visual perception. This advancement allows robots and AI systems to better understand and interact with the world around them. While industrial robots have long been used in manufacturing, they were previously limited to performing repetitive, predefined tasks. The integration of generative AI with robotics now promises to overcome these limitations, potentially revolutionizing how machines understand and navigate complex environments.