特斯拉CEO马斯克在一次长达三小时到访谈中再爆惊人之语

Group 1 - Musk predicts that general artificial intelligence (AGI) will arrive by 2026, and robots will surpass human surgeons in 3 to 4 years [1][3] - The development of humanoid robots like Optimus is expected to significantly impact the medical field, potentially leading to the obsolescence of human surgeons [1][3] - The concept of AGI refers to AI systems that possess cognitive abilities comparable to or exceeding those of humans, capable of learning, reasoning, and adapting [3] Group 2 - Neuralink, Musk's brain-machine interface company, is already using robots for "brain insertion" surgeries, with over 10,000 patients reportedly waiting for procedures [4] - The surgical robots have improved efficiency, reducing the time to implant a single electrode from 17 seconds to 1.5 seconds, with the goal of making surgeries quick enough to be completed during a lunch break [4][5] - The technology involves a complex visual system that integrates multiple microscopes and optical coherence tomography (OCT) for real-time tracking of brain tissue [5] Group 3 - Experts express skepticism about the feasibility of fully autonomous surgical robots within the next five years, emphasizing the need for human oversight in current operations [7][8] - While robots can enhance surgical efficiency, the complete replacement of human surgeons is not anticipated in the short term, as the technology still relies on human intervention [7][8] - The market for surgical robots is currently dominated by a few leading companies, with significant investment activity noted in the sector [9][10] Group 4 - The domestic surgical robot market is experiencing rapid growth, with substantial financing and IPO activities indicating investor confidence [9][10] - The market for vascular interventional surgical robots is projected to reach 5.824 billion RMB by 2030, with a compound annual growth rate of 90% [12] - Recent regulatory developments are expected to establish a pricing framework for surgical robot-assisted treatments, which could accelerate their adoption in clinical settings [11][12]