A system that can look up any fact has not been forced to find structure. It has not been forced to generalize. The lossy compression that makes training so powerful, the mechanism that turns raw data into transferable representations, is exactly what we shut off the moment we deploy.
这个观点揭示了检索与学习的本质区别。当前AI系统虽然可以检索任何事实,但被迫寻找结构和归纳的能力却被关闭了。这挑战了我们对AI'智能'的理解,暗示真正的智能需要能够从经验中学习和归纳,而不仅仅是检索信息。