Full development of 7B and 32B Olmo 3 models used 12.3 GWh datacenter energy and emitted 4,251 tCO2eq, with development overheads accounting for 82% of compute and reasoning models costing 17x more to post-train than instruction-tuned ones.
Smith, Nicole DeCario, and Will Buchanan
4 Pith papers cite this work. Polarity classification is still indexing.
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US hyperscale data centers consumed 68-99 TWh electricity and emitted 37-54 Mt CO2, representing 1.8% of US electricity use with average carbon intensity 48% above the national grid average.
Qualitative studies show creatives prefer self-experimentation over structured guidance for GenAI image tools to preserve creative autonomy despite terminology barriers.
Empirical study finds diminishing accuracy returns against steep energy growth for deeper and wider ResNet speaker verification models on VoxCeleb2.
citing papers explorer
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The Hidden Cost of Thinking: Energy Use and Environmental Impact of LMs Beyond Pretraining
Full development of 7B and 32B Olmo 3 models used 12.3 GWh datacenter energy and emitted 4,251 tCO2eq, with development overheads accounting for 82% of compute and reasoning models costing 17x more to post-train than instruction-tuned ones.
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Assessing the Carbon Emissions and Energy Consumption of U.S. Hyperscale Data Centers
US hyperscale data centers consumed 68-99 TWh electricity and emitted 37-54 Mt CO2, representing 1.8% of US electricity use with average carbon intensity 48% above the national grid average.
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How Creatives Approach GenAI Image Generation: Tensions Between Structured Guidance, Self-Experimentation, and Creative Autonomy
Qualitative studies show creatives prefer self-experimentation over structured guidance for GenAI image tools to preserve creative autonomy despite terminology barriers.
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Assessing the Energy and Carbon Emissions of Neural Speaker Verification Model in Training and Inference
Empirical study finds diminishing accuracy returns against steep energy growth for deeper and wider ResNet speaker verification models on VoxCeleb2.