Comment by symbolicAGI

The point is that symbolic computation as performed by Cycorp was held back by the need to train the Knowledge Base by hand in a supervised manner. NNs and LLMs in particular became ascendant when unsupervised training was employed at scale.

Perhaps LLMs can automate in large part the manual operations of building a future symbolic knowledge base organized by a universal upper ontology. Considering the amazing emergent features of sufficiently-large LLMs, what could emerge from a sufficiently large, reflective symbolic knowledge base?