Sustainable AI

A chatbot does not need a philosophy seminar to answer “Who directed Oppenheimer?” That sentence sounds obvious. Yet a large part of today’s AI infrastructure behaves as if every user query deserves a carefully staged internal drama: retrieve facts, reason through them, verify the logic, produce a chain of intermediate steps, and finally deliver the answer the system could have produced with a simple lookup. It is impressive in the same way using a crane to move a coffee cup is impressive. Technically capable. Operationally absurd. ...

Energy is the easy variable; deployment is the harder one Energy. That is usually where the sustainable AI conversation begins, and not without reason. AI infrastructure consumes electricity, advanced models require expensive compute, and the supply chain behind chips, data centers, cooling systems, and cloud capacity is not exactly made of recycled poetry. ...

When Attention Learns to Breathe: Sparse Transformers for Sustainable Medical AI Hospital AI does not fail only because models are inaccurate. It also fails because the input is messy, the compute budget is limited, the deployment environment is not a research lab, and the missing field in the patient record is somehow always the one the model wanted most. Elegant, really. ...