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Yann LeCun：两年后我们仍远未达到人类水平 AI
Yann LeCun 发推表示，尽管 AI 在数学、编程和已知答案问答等任务上已超越人类，但两年过去仍远未达到人类水平 AI。他追问 L5 自动驾驶何在（并指出 Tesla FSD 为 L2、Waymo 为 L4）、能像 17 岁少年练 20 小时就学会开车的自驾系统何在（称已有数十亿小时训练数据仍无法用模仿学习成功训练）、家用机器人及具备 8 岁儿童学习能力的机器人何在，认为 AI 仍难以应对物理世界的复杂与混乱。
AI推荐理由 Yann LeCun 在 X 上以具体论据质疑当前 AI 距人类水平仍远：指出 AI 在数学、编程等有已知答案任务上超人类，但 L5 自动驾驶缺失（Tesla FSD 为 L2、Waymo 为 L4），并称即便有数十亿小时训练数据仍无法用模仿学习成功训练自动驾驶系统，家用机器人和 8 岁儿童级快速学习能力也未实现。这是研究者对 AI 能力边界的公开判断，含可核对的等级与训练数据量表述，但属观点性推文，无新实验或数据发布，故兴趣分中等。
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正文
That video is 2 years old.
Two years later, we are still far from human-level AI.
Sure, AI has superhuman performance in a number of tasks (particularly in mathematics and coding and answering questions with known answers).
But where is my Level-5 self-driving car?
(Before you ask, Tesla FSD is rated Level 2, Waymo is Level 4).
Where is the self-driving car that can teach itself to drive in 20 hours of practice like any 17 year old?
(Before you ask, we have billions of hours of training data and still can't successfully train a self-driving system by imitation learning)
Where is my domestic robot?
Where is the robot that can do what any 8 year-old child can do?
Where is the robot that can learn a new task as quickly as an 8 year old?
AI still has a hard time with the complexity and messiness of the physical world.