Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc · HackerPapers discussions

Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc — mentioned by musicale

Thu, 10 Apr 2025 03:30:12 GMT

See also (Lenat's final paper): D. Lenat, G. Marcus, "Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc", https://arxiv.org/abs/2308.04445

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Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc — mentioned by trott

Sun, 10 Nov 2024 02:46:38 GMT

> Marcus has always been a mouth just trying to take down neural networks. This isn't true. Marcus is against "pure NN" AI, especially in situations where reliability is desired, as would be the case with AGI/ASI. He advocates [1] neurosymbolic AI, i.e. hybridizing NNs with symbolic approaches, as a path to AGI. So he's in favor of NNs, but not "pure NNs". [1] https://arxiv.org/abs/2308.04445

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Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc — mentioned by nickpsecurity

Tue, 11 Jun 2024 21:15:23 GMT

To parent: the spatial reasoning and blind person were great counterexamples. It still might be OK despite the blind exceptions if it showed general reasoning. To OP: I like your project goal. I think you should look at prior, reasoning engines that tried to build common sense. Cyc and OpenMind are examples. You also might find use for the list of AGI goals in Section 2 of this paper: https://arxiv.org/pdf/2308.04445 When studying intros of brain function, I also noted many regions tie into the hippocampus which might do both sense-neutral storage of concepts and make inner models (or…

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Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc — mentioned by Rochus

Fri, 08 Sep 2023 08:21:37 GMT

A very interesting review from 1993 by John F. Sowa (https://en.wikipedia.org/wiki/John_F._Sowa) of the Cyc system as presented in Lenat's 1989 book (ISBN 0-201-51752-3) and his 1991 presentation at IBM Research in Yorktown. > In June, Doug sent me an article he was working on That's likely this one: https://arxiv.org/abs/2308.04445. See also https://garymarcus.substack.com/p/doug-lenat-1950-2023.

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Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc — mentioned by PaulHoule

Sun, 03 Sep 2023 00:31:10 GMT

One thing I thought was amusing was that there was a burst of articles about Cyc that got mentioned when Doug Lenat died including this arXiv paper https://arxiv.org/abs/2308.04445 and that one said that Cyc had over 1,100 special purpose reasoning engines. The general purpose resolution solver was nowhere near fast enough to be really useful. Early one there was https://en.wikipedia.org/wiki/General_Problem_Solver which would be capable in principle of finding a winning move in a chess position but because it worked by exhaustive search it would practically take too long. The thing is that a…

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Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc — mentioned by PaulDavisThe1st

Fri, 01 Sep 2023 23:59:25 GMT

https://arxiv.org/pdf/2308.04445.pdf is precisely Doug Lenat & Gary Marcus' thoughts on how to combine them (July 31st 2023, Lenat's last paper)

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Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc — mentioned by PaulDavisThe1st

Fri, 01 Sep 2023 23:56:18 GMT

https://arxiv.org/pdf/2308.04445.pdf "Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc" Lenat's last paper (July 31st, with Gary Marcus) https://news.ycombinator.com/item?id=37354601 This may disabuse you of two ideas: 1. that NN models (LLMs) exhibit common sense reasoning today 2. that the approach to AI represented by Cyc and the one represented by LLMs are mutually exclusive

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Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc — HN submission

Fri, 01 Sep 2023 18:38:09 GMT

Getting from Generative AI to Trustworthy AI: What LLMs Might Learn from Cyc

35 points; 1 discussion reply on HN. Paper and source history. A submission is not an endorsement.

Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc — HN submission

Thu, 31 Aug 2023 22:39:37 GMT

Getting from Generative AI to Trustworthy AI: What LLMs Might Learn from Cyc

2 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc — HN submission

Thu, 10 Aug 2023 10:56:59 GMT

Getting from Generative AI to Trustworthy AI: What LLMs Might Learn from Cyc

1 point; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.