My reaction too. They've reinvented genetic/evolutionary programming. They should probably read some of the decades of work that have already been done on it.
"An early example of a symbolically discovered optimizer is that of Bengio et al. [8], who represent F as a tree: the leaves are the possible inputs to the optimizer (i.e. the xi above) and the nodes are one of {+, −, ×, ÷}. F is then evolved, making this an example of genetic programming [36]. Our search method is similar to genetic programming but we choose to represent the program as a sequence of instructions—like a programmer would type it—rather than a tree. "
"[36]" is "Koza, J. R. and Koza, J. R. Genetic programming: on the programming of computers by means of natural selection. MIT press, 1992."
When AI gets to 100% accuracy, the equation to find the answer becomes 100% accurate. We no longer have to run the AI with heavy resources and equation can be converted to an executable program. This modal of AI will save computing power, and uses resources smartly.
Example.
AI tries to find right equation to add two numbers.
AI finds the equation to add two numbers.
AI outputs the equation as an executable program.
AI discards itself.