According to AI at Meta, the new CATransformers framework enables the discovery of greener CLIP models that reduce total lifecycle carbon emissions by an average of 9.1% while maintaining or improving accuracy (source: AI at Meta, May 13, 2025). This carbon-driven neural architecture and hardware co-design approach sets a precedent for sustainable AI development, which could directly influence the cryptocurrency market by encouraging more energy-efficient AI model training and inference, potentially reducing the carbon footprint of AI-powered crypto trading algorithms and mining operations.