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[return to "Cyc: History's Forgotten AI Project"]
1. Rochus+Ri[view] [source] 2024-04-17 21:55:48
>>iafish+(OP)
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?

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2. famous+vL[view] [source] 2024-04-18 02:06:56
>>Rochus+Ri
>the hype about LLMs has calmed down

The hype of LLMs is not the reason the likes of Cyc have been abandoned.

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3. Rochus+KO[view] [source] 2024-04-18 02:45:26
>>famous+vL
It's not "abandoned"; it's just that most money today goes into curve fitting; but there are features which can be better realized with production systems, e.g. things like explainability or causality.
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4. famous+bX[view] [source] 2024-04-18 04:30:41
>>Rochus+KO
>it's just that most money today goes into curve fitting

It's pretty interesting to see comments like this like deep nets weren't the underdog for decades. You think they were first choice ? The creator of cyc spent decades on it, and he's dead. We use modern NNs today because they just work that much better.

Gofai was abandoned in NLP long before the likes of GPT because non deep-net alternatives just sucked that much. It has nothing to do with any recent LLM hype.

If the problem space is without clear definitions and unambiguous axioms then non deep-net alternatives fall apart.

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