What is a overparameterized network?

I got this paragraph from Claude, could someone please explain this and verify if it's a real thing or hallucination: Overparameterization isn't just about final capacity, it's about the optimization process itself. A wide, overparameterized network gives gradient descent a much friendlier loss landscape — more paths downhill, fewer bad local minima, room to explore before committing. The "core" only emerges as a byproduct of that search happening in a mu