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Cyc: History's Forgotten AI Project

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41–50 of 145 posts

Re: Cyc: History's Forgotten AI Project

#41
post #38
post #22

Cyc 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 think before 2022 it was still an open question whether it was a good approach. Now it's clear that knowledge graphs are far inferior to deep neural nets, but even still few people can explain the _root_ reason why. I don't think Lenat's bet was a waste. I think it was sensible based on the information at the time. The decision to research it largely in secret, closed source, I think was a mistake.

> Now it's clear that knowledge graphs are far inferior to deep neural nets

No. It depends. In general, two technologies can’t be assessed independently of the application.

Re: Cyc: History's Forgotten AI Project

#42
post #39
post #26

Earlier quoted context omitted.

> If Susan goes shopping does her go with her? 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…

deleted

Oh, I think just fixing the original comment would quite likely have netted you upvotes, if there wasn't anything else wrong with your comment. I think downvoting because of an obvious typo is pretty dumb in the first place.

Re: Cyc: History's Forgotten AI Project

#43
post #38
post #22

Cyc 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 think before 2022 it was still an open question whether it was a good approach. Now it's clear that knowledge graphs are far inferior to deep neural nets, but even still few people can explain the _root_ reason why. I don't think Lenat's bet was a waste. I think it was sensible based on the information at the time. The decision to research it largely in secret, closed source, I think was a mistake.

> but even still few people can explain the _root_ reason why.

_The_ (one) root reason? Ok, I’ll bite.

But you need to define your claim. What application?

Re: Cyc: History's Forgotten AI Project

#44
post #8

Interesting article, thanks. > Perhaps their time will come again. That's pretty sure, as soon as the hype about LLMs has calmed down. I hope that Cyc's data will then still be available, ideally open-source. > https://muse.jhu.edu/pub/87/article/853382/pdf Unfortunately paywalled; does anyone have a downloadable copy?

https://jumpshare.com/s/X5arOz0ld3AzBGQ47hWf

Re: Cyc: History's Forgotten AI Project

#45
post #44
post #8

Interesting article, thanks. > Perhaps their time will come again. That's pretty sure, as soon as the hype about LLMs has calmed down. I hope that Cyc's data will then still be available, ideally open-source. > https://muse.jhu.edu/pub/87/article/853382/pdf Unfortunately paywalled; does anyone have a downloadable copy?

https://jumpshare.com/s/X5arOz0ld3AzBGQ47hWf

Great, thank you very much!

Re: Cyc: History's Forgotten AI Project

#46
post #22

Cyc 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.

Lenat was able to produce superhuman performing AI in the early 1980s [1].

[1] https://voidfarer.livejournal.com/623.html

You can label it "bad idea" but you can't bring LLMs back in time.

Re: Cyc: History's Forgotten AI Project

#47
post #29
post #28

Earlier quoted context omitted.

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?

I had the same thought. Does anybody know if there have been attempts either to incorporate Cyc-like graphs into LLM training data or to extend such graphs with LLMs?

There are lattice-based RNNs applied as language models.

In fact, if you have a graph and a path-weighting model (RNN, TDCNN or Transformer), you can use beam search to evaluate paths through graphs.

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