Publicly available models and local infrastructure offer a path to reduce AI's environmental footprint. Researchers in Nature argue that shifting away from massive data centers grants scientists greater control over their tools. This move limits reliance on corporate infrastructure. Practitioners should prioritize decentralized compute to ensure long-term research autonomy and sustainability.