Group 1 - Tesla's CEO Elon Musk predicts that Optimus, Tesla's humanoid robot, will surpass the best human surgeons within three years on a large scale [1] - Meng Qinghu, a professor at Southern University of Science and Technology, disagrees with Musk's assertion, stating that it is impossible to achieve such advancements in three to five years due to limitations in data and hardware capabilities [1] - Meng emphasizes that current AI models, particularly in robotics, are still limited in their ability to perform complex tasks autonomously and require significant improvements in precision and dexterity compared to humans [1] Group 2 - There is a common misconception that large models, such as ChatGPT and others, are capable of performing complex physical tasks, while in reality, they are primarily effective in text generation [2] - Meng clarifies that the current AI models are primarily two-dimensional and lack the three-dimensional understanding necessary for advanced image processing, which contributes to their limitations in physical interactions [2] - The development of "scene intelligence" is proposed as a more practical approach for AI applications, focusing on solving specific problems efficiently with minimal computational resources [3] Group 3 - Meng argues that achieving general artificial intelligence (AGI) requires transforming all scenarios into intelligent systems, which is currently hindered by a lack of high-quality data [4] - He suggests that the term "scene intelligence" should replace "general models," as it can address specific issues immediately, while general models remain constrained by data and hardware limitations [4] - Meng predicts that the capability for robots to perform surgeries successfully may take five to ten years, likely involving a combination of humanoid robots and AI agents working alongside human experts [4]
南方科技大学孟庆虎:马斯克关于“Optimus三年内做手术”的大饼烙不熟