riceflippa

interesting to see a prompt post getting so upvoted

yes, you are right there is no contrast, because both ai(vector nn) and traditional symbolic programs are not aware of inputs/understanding deeper/"excel in domain" outside our interpretation of it.

In the way digital is the symbolic representation of physical, ai programs may have internal symbolic representation. This paper shows that nn vectors can be closely approx with symbolic structures.

it is not. in this case these researchers have lost their way, with how symbolics entered the conversation. to remind, it is via wanting to prove that ai vs traditional program is understanding deeper. well guess what, ai is not understanding your input better, its your mind playing tricks with language. For analogy, digital world is not real in a physical sense. if output is food, and input is ingredients, then symbolic programs care about macro slicing dicing stacking them, while ai is micro level spice & heat that doesn't especially conscious to the ingredients, just that chemistry appears magical. hey! we eat our information food tho.

> Is evaluating these closed-form representations more computationally efficient?

No it is way worse since computationally they are same things with symbolic having overhead of attending to the symbols.

they literally copied logo (even the color!) from phantom