ASICs as AI‑safety enforcement

Instead of relying only on laws or corporate promises, embed final, certified large models into fixed‑function ASICs and require that frontier training organisations cannot hold commercial equity or direct world‑facing data streams. This physically and institutionally separates the capability (model circuits) from the commercial incentives to deploy and monetize it, making takeover and IOU‑style capture harder. — If adopted, this reframes AI governance from purely legal/regulatory approaches to a mixed hardware‑institutional regime that could materially lower incentive‑driven existential risk while preserving commercial deployment through separate actors.