The rapid development of artificial intelligence comes with growing environmental costs. Training and running Large Language Models (LLMs) require enormous amounts of energy, often sourced from non-renewable resources. This is compounded by the intensive use of water in data center cooling systems and the generation of electronic waste due to the frequent replacement of hardware.In … Continue reading The Environmental Impact of Artificial Intelligence: Why Building a Sustainable AI Matters