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!
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.
The Japanese Fifth Generation Project
https://www.sjsu.edu/faculty/watkins/5thgen.htm