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We love AI for its ability to generate images and recognize faces, but there is a massive hidden cost: energy. In this episode of The Green Lens, Alex and Sam dive deep into the world of "Green Image Processing." We explore the dangerous rise of "Red AI"—where training a single model can emit as much carbon as five cars—and the innovative solutions researchers are developing to stop it. In this episode, we cover: The "Red AI" Crisis: Why modern AI is overheating the planet. Spiking Neural Networks (SpiNeRF): How mimicking the human brain can reduce 3D rendering energy by 73%. AI on the Edge: The MoSViT model that helps farmers detect crop diseases using simple drones. The Measurement Gap: Why counting "operations" (FLOPs) is wrong and why we need to measure actual energy (Joules). The Future: GreenNAS and the push for standardized "Carbon Nutrition Labels" for AI models. If you are interested in the intersection of Artificial Intelligence, Computer Vision, and Sustainability, this podcast is for you!