CMU tried to build a self-learning expert system called NELL but it failed. Never-Ending Language Learning system (NELL) is a semantic machine learning system d

CMU tried to build a self-learning expert system called NELL but it failed. Never-Ending Language Learning system (NELL) is a semantic machine learning system developed by a research team at Carnegie Mellon University, and supported by grants from DARPA, Google, NSF, and CNPq with portions of the system running on a supercomputing cluster provided by Yahoo! In his 2019 book "Human Compatible", Stuart Russell commented that 'Unfortunately NELL has confidence in only 3 percent of its beliefs and relies on human experts to clean out false or meaningless beliefs on a regular basis—such as its beliefs that “Nepal is a country also known as United States” and "value is an agricultural product that is usually cut into basis."'