Frontier model diffusion is hitting the brakes—not because of compute limits or data walls, but safety concerns. Labs are holding back releases, gating access harder, and slowing down public deployment timelines. This isn't just PR theater; it's a real shift in how cutting-edge models get distributed. Expect more private API access, stricter usage policies, and longer gaps between model announcements and actual availability. The era of "release and iterate publicly" for frontier models is fading fast.