Show HN: Estimate your AI CO2 footprint (llmfootprint.fyi)

A new tool has been launched to help users estimate the carbon dioxide (CO2) footprint of their AI activities, detailing the energy consumption and emissions associated with various AI applications. This estimator allows users to input token usage to obtain energy estimates and is designed for both casual users and AI developers. The calculations are based on modeled benchmarks and provide context by comparing the AI energy use to more familiar metrics, although these comparisons are illustrative rather than additively cumulative. This initiative is significant for the AI/ML community as it raises awareness about the environmental impact of AI technologies, which can often be overlooked in discussions about performance and innovation. By incorporating factors such as cache rates and hardware performance into its methodology, the tool aims to provide more accurate estimates of energy consumption and carbon emissions. As AI usage continues to rise, this awareness could drive efforts toward more sustainable practices in AI development and deployment, encouraging the community to adopt greener methodologies and technologies.