Machines as Public Commons

The Left should treat powerful machines, large models, and core algorithmic infrastructure as a kind of public property (a commons or publicly governed asset) rather than private capital to be regulated. That implies new institutions for public ownership, co‑operative governance, or public licensing of high‑impact compute and data to align technological capacity with broad social freedom. — Framing compute and algorithms as public property shifts policy levers from after‑the‑fact regulation to upfront ownership and governance, with wide implications for industrial policy, antitrust, and social equity.