AI先驱Sutton称合成数据是“大错误”
原标题：KI-Pioneer Sutton calls synthetic data a "big mistake" in the face of an infinitely complex world
AI 摘要
AI先驱、图灵奖得主Richard Sutton在访谈中批评合成数据是“大错误”，认为世界无限复杂，合成数据无法解决大语言模型的扩展瓶颈。他提出“大世界假说”，主张智能体应从自身经验中持续学习，而非依赖人类构建的模拟或静态训练。Sutton还指出当前语言模型缺乏持续学习能力，并介绍了其新公司Oak Lab。
正文节选
KI-Pioneer Sutton calls synthetic data a "big mistake" in the face of an infinitely complex world AI researcher Richard Sutton pushes back against a core strategy at the leading AI labs. Synthetic data won't solve the scaling problem for large language models, he says, and blames the sheer complexity of the world. Turing Award winner Richard Sutton is considered one of the founders of reinforcement learning. He wrote the field's standard textbook, mentored researchers like David Silver, who late