With {ξ i } i≥0 being a centered stationary Gaussian sequence with non negative correlation function ρ(i) := E [ξ 0 ξ i ] and {σ(i)} i≥1 a sequence of positive reals, we study the asymptotics of the persistence probability of the weighted sum ℓ i=1 σ(i)ξ i , ℓ ≥ 1. For summable correlations ρ, we show that the persistence exponent is universal. On the contrary, for non summable ρ, even for polynomial weight functions σ(i) ∼ i p the persistence exponent depends on the rate of decay of the correlations (encoded by a parameter H) and on the polynomial rate p of σ. In this case, we show existence of the persistence exponent θ(H, p) and study its properties as a function of (p, H). During the course of our proofs, we develop several tools for dealing with exit problems for Gaussian processes with non negative correlations -e.g. a continuity result for persistence exponents and a necessary and sufficient criterion for the persistence exponent to be zero -that might be of independent interest.