As a way to demonstrate using AI for fundamental research ? I mean they did find algorithms with less multiplications.

It may be harder to apply or benefit from it (numerical stability), still would be a good scientific achievement and pushes the field forward towards exploring where else can such techniques be applied for algorithm discovery.

They also speculate about adding numerical stability as a metric, so maybe a future work at some point.

Either way, the paper does indeed do something new, and opens up new research avenues to explore.