310 citations · 641 across the 20 of their papers we have counts for
8 papers · 1 filter
Lights, Camera, Carbon: Architectural Scaling Laws for Video Generation Energy Consumption
Nidhal Jegham, Boris Gamazaychikov, Sasha Luccioni
We present a bidirectional framework for estimating the energy consumption of text-to-video (T2V) and text-to-video-audio (T2VA) models from architectural first principles and obse…
Towards Resource-Efficient LLMs: End-to-End Energy Accounting of Distillation Pipelines
Katherine Lambert, Sasha Luccioni
The rise in deployment of large language models has driven a surge in GPU demand and datacenter scaling, raising concerns about electricity use, grid stress, and the impacts of mod…
From Cradle to Cloud: A Life Cycle Review of AI's Environmental Footprint
Katherine Lambert, Sasha Luccioni
The rapid growth in the deployment and scale of modern artificial intelligence (AI) systems has intensified concerns regarding their environmental impacts, yet we still lack a comp…
Strategic Polysemy in AI Discourse: A Philosophical Analysis of Language, Hype, and Power
Travis LaCroix, Fintan Mallory, Sasha Luccioni
This paper examines the strategic use of language in contemporary artificial intelligence (AI) discourse, focusing on the widespread adoption of metaphorical or colloquial terms li…
Terms of (Ab)Use: An Analysis of GenAI Services
Harshvardhan J. Pandit, Dick A. H. Blankvoort, Adel Shaaban +2
Generative AI services like ChatGPT and Gemini are some of the fastest-growing consumer services. Individuals using such services must accept their terms of use before access, and…
The Global Landscape of Environmental AI Regulation: From the Cost of Reasoning to a Right to Green AI
Kai Ebert, Boris Gamazaychikov, Philipp Hacker +1
Artificial intelligence (AI) systems impose substantial and growing environmental costs, yet transparency about these impacts has declined even as their deployment has accelerated.…
Understanding Efficiency: Quantization, Batching, and Serving Strategies in LLM Energy Use
Julien Delavande, Regis Pierrard, Sasha Luccioni
Large Language Models (LLMs) are increasingly deployed in production, contributing towards shifting the burden in terms of computational resources and energy demands from training…
Small Talk, Big Impact: The Energy Cost of Thanking AI
Julien Delavande, Regis Pierrard, Sasha Luccioni
Being polite is free - or is it? In this paper, we quantify the energy cost of seemingly innocuous messages such as ``thank you'' when interacting with large language models, often…