Thermodynamic Computing Could Rewrite AI Image Generation With Near-Zero Energy
Generative artificial intelligence has become one of the defining technological forces of this decade. Tools like DALL-E, Midjourney, and Stable Diffusion can create stunningly realistic images from short text prompts, transforming industries ranging from marketing and entertainment to architecture and product design. Yet beneath this creative explosion lies an inconvenient truth: modern AI image generation consumes extraordinary amounts of energy. Every image generated by today’s diffusion-based AI models requires billions of digital calculations. These computations run on power-hungry GPUs and data centers, drawing electricity at a scale that raises both economic and environmental concerns. As AI adoption accelerates globally, researchers … Read more
