Sujet : LLM versus CYC (Re: The Emperor’s New Clothes [John Sowa]) De : janburse (at) *nospam* fastmail.fm (Mild Shock) Groupes :comp.lang.prolog Date : 05. Jan 2025, 21:43:24 Autres entêtes Message-ID :<vleqt8$28i58$2@solani.org> References :1234 User-Agent : Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:91.0) Gecko/20100101 Firefox/91.0 SeaMonkey/2.53.19
Douglas Lenat died two years ago in August 31, 2023. I don’t know whether CYC and Cycorp will make a dent in the future. CYC adressed the common knowledge bottleneck, and so do LLM. I am using CYC mainly as a historical reference. The “common knowledge bottleneck” in AI is a challenge that plagued early AI systems. This bottleneck stems from the difficulty of encoding vast amounts of everyday, implicit human knowledge things we take for granted but computers historically struggled to understand. Currently LLM by design focus more on shallow knowledge, whereas systems such as CYC might exhibit more deep knowlege in certain domains, making them possibly more suitable when the stakeholders expect more reliable analytic capabilities. The problem is not explainability, the problem is intelligence.