I will present a recent amazing new approach to norm convergence of random matrices due to Chen, Garza Vargas, Tropp, and van Handel, and the way Michael Magee and I apply and expand it, together with fine topological expansion, to obtain norm convergence for random matrix models coming from representations of SU(n) of quasi-exponential dimension.