generalized approach to knowledge representation

Dear all,
I have seen dozens of articles, both in scientific publications and in public periodicals and news media lately about AI, AGI and sentient AI.What has recently sparked the debate of the current sate of the art of AI, based on ML and deep learning is the supposed dead ends ML seems to have reached.Blake Lemoine with his claim that Google's LaMDA had become sentient and the debunking of the claim, has triggered another debate, namely that of consciousness and sentience, and the current definitions thereof.And even the usefulness of the Turing Test has now become an issue, in order to determine sentience.

The current state of the art is that AI is increasingly used in new drug and chemical compounds discovery, solving mathematical problems, finding new laws of physics, and detecting patterns which can be used for predictive analytics in increasing numbers of fields.
It would make sense to revisit the various diagrams by a.o. the EUROPEAN UNION and other international bodies and national organizations, or peer groups or professional organizations to look at how we can use these diagrams to specify the various components in all cognitive processes related to knowledge representation.
Yann LeCun, an AI pioneer recently published a new diagram which shows what in his opinion should be the future focus of AI research.
I will go through my extensive body of articles and send some links to current visual depictions of AI cognitive processes involved.

Milton Ponson
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