A new study has revealed that artificial intelligence systems are generating large-scale carbon emissions, and the situation is worsening.
A recent research paper warns that the increased demand for energy to run and train complex models is having serious environmental impacts. As systems improve, they require more computing power and energy to operate. For example, OpenAI’s current GPT-4 uses 12 times more energy than its previous model.
Training these systems is a relatively small process, but operating AI tools requires 960 times more energy than the training process itself.
According to the researchers, the impact of these emissions could be far-reaching. AI-related emissions could potentially cost the industry over $10 billion annually, and they have urged governments to establish standards for measuring these emissions and enforce new regulations to keep them in check.
