Hacker News AIT2·68 pts
- Open-source method enables request-level tracking of AI carbon emissions, moving beyond aggregate energy estimates
- Grid intensity causes significant regional variance: identical models/hardware emit ~8.5x more CO2 in Texas than in Sweden
- Aims to empower enterprises to select low-carbon AI vendors through transparent data, shifting industry focus from marketing to evidence-based comparison