Lucid AI and Cyc: Seeking Common Sense Reasoning

In support of reading Rebooting AI, been exploring where the implementation of CYC has taken place.    We saw it demonstrated in the 80s.   Followed it here since.    There are some mentions of applications like Glaxo and Cleveland Clinic in the WP article https://en.wikipedia.org/wiki/Cyc  But not much  mention of its use by Lucid.ai.   Is it possible to deliver a complete and usable common sense knowledge base, even for domain areas?  Where now is deep understanding?  Quotes below are interesting, but dated.  Our own use of machine learning before it was sexy keeps me a student.

An AI with 30 Years’ Worth of Knowledge Finally Goes to Work

An effort to encode the world’s knowledge in a huge database has sometimes seemed impractical, but those behind the technology say it is finally ready.
by Will Knight  Mar 14, 2016 Technology Review

Having spent the past 31 years memorizing an astonishing collection of general knowledge, the artificial-intelligence engine created by Doug Lenat is finally ready to go to work.

Lenat’s creation is Cyc, a knowledge base of semantic information designed to give computers some understanding of how things work in the real world.

Cyc has been given many thousands of facts, including lots of information that you wouldn’t find in an encyclopedia because it seems self-evident. It knows, for example, that that Sir Isaac Newton is a famous historical figure who is no longer alive. But more important, Cyc also understands that if you let go of an apple it will fall to the ground; that an apple is not bigger than a person; and that a person cannot throw an apple into space.

And now, after years of work, Lenat’s system is being commercialized by a company called Lucid.

“Part of the reason is the doneness of Cyc,” explains Lenat, who left his post as a professor at Stanford to start the project in late 1984. “Not that there’s nothing else to do,” he says. But he notes that most of what is left to be added is relevant to a specific area of expertise, such as finance or oncology.  ... "