I suspect Symbolic AI might become a part of the larger LLM based AI. IMO symbolic AI is really a representation of 'hard truths' where there is no room for fuz

I suspect Symbolic AI might become a part of the larger LLM based AI. IMO symbolic AI is really a representation of 'hard truths' where there is no room for fuzziness like physical laws. But real world is fuzzy so the AI needs to develop a discretion on where to apply symbolic AI and how much. one example may be an AI can look at the car video feed and use it to determine the speed of a car but to recognize the mile/road markers it may have to use the traditional CNN type modules, kinda like what we do. Overall I feel this has a potential of ballooning into something really interesting like theoretical physics research could be largely automated using this type of combo (in somewhat not-too-distant future).