Learned my mom's house has internet again. I'll probably be going back there soon, I can't stand this s#%$& laptop much longer.

By October 2010, NELL has doubled the number of relationships it has available in its knowledge base and has learned 440,000 new facts, with an accuracy of 87%.[4][1] Team leader Tom M. Mitchell, chairman of the machine learning department at Carnegie Mellon described how NELL "self-corrects when it has more information, as it learns more", though it does sometimes arrive at incorrect conclusions. Accumulated errors, such as the deduction that Internet cookies were a kind of baked good, led NELL to deduce from the phrases "I deleted my Internet cookies" and "I deleted my files" that "computer files" also belonged in the baked goods category.[5] Clear errors like these are corrected every few weeks by the members of the research team and the system is allowed to continue its learning process.[1]