> The long double type varies dramatically across platforms: > [...] > What sets numpy_quaddtype apart is its dual-backend approach: > Long Double: This backend uses the native long double type, which can offer up to 80-bit precision on some systems allowing backwads compatibility with np.longdouble.

Why introduce a new alias that might be 128 bits but also 80 ? IMO the world should focus on well defined types (f8, f16, f32, f64, f80, f128), then maybe add aliases.