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So we are back to Japanese Fifth Generation plan from 1980's. :)
For the uninitiated (like me):

The Japanese Fifth Generation Project

https://www.sjsu.edu/faculty/watkins/5thgen.htm

This time around we have all sorts of parallel processing capabilities in the form of GPUs. If I recall correctly, the Fifth Generation project envisioned highly parallel machines performing symbolic AI. From a hardware standpoint, those researchers were way ahead of their time.
And they had a self-sustaining video game industry too... if only someone had had the wild thought of implementing perceptrons and tensor arithmetic on the same hardware!
Missing some LISP but yeah it's funny how old things are new again (same story with wasm, RISC archs, etc.)
Lots of GOFAI being implemented again – decision trees, goal searching and planning, agent-based strategies... just not symbolic representations, and that might be the key. I figure you might get an interesting contribution out of skimming old AI laboratory publications and seeing whether you could find a way of implementing it through a single LLM, multiple LLM agents, methods of training, etc.
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Watson did it too, a while back.