Less flippantly:

With llms acting as intelligent mutation operators, meta-optimization moves from purely quantitative exploration of pre-defined spaces (hyperparam search) to *qualitative* proposals (defining new loss functions, identifying target hyperparams, etc.)

The way most CS/AI has worked for decades too

First Added First Out seems to be very popular on social media these days, not sure why