Cyc: History's Forgotten AI Project
21–30 of 145 posts
Re: Cyc: History's Forgotten AI Project
#22Re: Cyc: History's Forgotten AI Project
#23Earlier quoted context omitted.
Is Cyc still implemented in Lisp?
Yes: https://cyc.com/archives/glossary/subl/ Also see: https://www.youtube.com/watch?v=cMMiaCtOzV0
Re: Cyc: History's Forgotten AI Project
#24Re: Cyc: History's Forgotten AI Project
#25Earlier quoted context omitted.
Graph databases win in flexibility and ease of writing the queries over graphs, honestly. Of course the underlying storage can be (and often is) a bunch of specially prepared relational tables. But the strength in graph databases comes from restating the problem in different way, with query languages targeting the specific problem space. Similarly there are tasks where SQL will be plainly better.
Every time I try to write a query for GitHub’s graphql API I lose a few hours and go back to rest. May be it’s easy if all the edges and inputs are actually implemented in ways you would expect.
Re: Cyc: History's Forgotten AI Project
#26deleted.
Is there a typo in that question? Because this does not parse as a sentence in any way for me, and if that's part of the point, I don't understand how. How would a toddler answer this question (except for looking confused like an adult, or maybe making up some nonsense to go with it)?
Happy to be told how I missed the obvious!
(EDIT: By the way, I don't know why you got downvoted, I certainly didn't.)
Re: Cyc: History's Forgotten AI Project
#27Re: Cyc: History's Forgotten AI Project
#28Cyc is one of those bad ideas that won't die, and which keeps getting rediscovered on HN. Lenat wasted decades of his life on it. Knowledge graphs like Cyc are labor intensive to build and difficult to maintain. They are brittle in the face of change, and useless if they cannot represent the underlying changes of reality.
Re: Cyc: History's Forgotten AI Project
#29Cyc is one of those bad ideas that won't die, and which keeps getting rediscovered on HN. Lenat wasted decades of his life on it. Knowledge graphs like Cyc are labor intensive to build and difficult to maintain. They are brittle in the face of change, and useless if they cannot represent the underlying changes of reality.
I wonder to what degree an LLM could now produce frames/slots/values in the knowledge graph. With so much structure already existing in the Cyc knowledge graph, could those frames act as the crystal seed upon which an LLM could crystallize its latent knowledge about the world from the trillions of tokens it was trained upon?
Re: Cyc: History's Forgotten AI Project
#30I wonder what is the closest thing to Cyc we have in the open source realm right now. I know that we have some pretty large knowledge bases, like Wikidata, but what about expert system shells or inference engines?