Well no. GP is still the right solution:

1. Specific problems like #SymbolicRegression and #HyperHeuristics.
2. Gradual automated improvement via test cases and objective function.
3. Use cases where regurgitation / copyright infringment has to be avoided at all costs.

Interested in the automated discovery of physical equations from data? Check out Julius's talk on DataDrivenDiffeq: a #julialang #sciml #symbolicregression #SymbolicAI package which lets you give time series data and returns the equations which generated the data. It even generates the LaTeX!

https://www.youtube.com/watch?v=Cn5HO78Q2XA