AI RESEARCH
CarbonScaling: Extending Neural Scaling Laws for Carbon Footprint in Large Language Models
arXiv CS.LG
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ArXi:2508.06524v2 Announce Type: replace-cross Large language models (LLMs) increasingly follow neural scaling laws that tie performance gains to rapidly expanding computational budgets, raising concerns about the sustainability of frontier-scale