[tim333]

>the future of AI is neurosymbolic

There are a number of ways the future could go but comparing language models like chatGPT to human thinking the more obvious way forward might be visual reasoning and spatial modeling.

A lot of human thinking is vision related as in 'I see what you mean' 'picture this' and so on. Also comparing current AI to humans it's getting quite good at written exams but terrible at physical stuff like getting some milk from the shop and making a cup of coffee. Also the emergence of something like physics in the likes of SORA suggests it's possible.

On the other hand symbolic logic along the lines of algebra is quite a specialist area that humans have to be taught in maths classes and many get by without learning. I presume AI will get good at it but it doesn't seem the most obvious way forward unless you want it to do maths.

(by the way I came across a paper on trying to go this way https://spatial-vlm.github.io/ - adding 3d data to a multimodal large language model)

I guess human reasoning has three major areas - language, visual/spatial and also thinking of other thinking entities like other people, the cat wants to go out etc. Likely consciousness relates to the last category - does he feel like I feel and the like.

[tim333]

Or I guess in meme language, LLMs are wordcels and need to work on their shape rotator stuff. (see https://www.vice.com/en/article/pkpqzb/ok-wtf-are-wordcels-a...)