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136 changes: 83 additions & 53 deletions AIImpact.html
Original file line number Diff line number Diff line change
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display: flex;
gap: 9px;
padding: 0 16px 16px;
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margin: 16px 0;
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.action {
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font-size: 1.2rem;
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Expand Down Expand Up @@ -790,61 +817,9 @@ <h2 id="resultTitle">1 quick AI question</h2>
</div>
</div>

<div class="actions">
<button class="action primary" id="copyButton" type="button">Copy result</button>
<button class="action secondary" id="printButton" type="button">Print</button>
</div>
</aside>
</section>

<section class="card sources" aria-labelledby="sourcesTitle">
<h2 id="sourcesTitle">Data sources</h2>
<p class="sources-intro">These studies provide the published reference values used in this calculator.</p>

<div class="source-list">
<a class="source-link"
href="https://www.microsoft.com/en-us/research/publication/energy-use-of-ai-inference-efficiency-pathways-and-test-time-scaling/"
target="_blank" rel="noopener">
<strong>Microsoft Research — Energy Use of AI Inference</strong>
<span>Supports the 0.31 Wh typical text-query estimate, its 0.16–0.60 Wh range, and the 3.91 Wh extended-reasoning scenario with a 2.15–7.05 Wh range.</span>
</a>

<a class="source-link"
href="https://arxiv.org/abs/2311.16863"
target="_blank" rel="noopener">
<strong>Luccioni, Jernite &amp; Strubell — Power Hungry Processing</strong>
<span>Supports the 2.907 Wh mean image-generation benchmark. The study found substantial variation among models.</span>
</a>

<a class="source-link"
href="https://eta-publications.lbl.gov/sites/default/files/2024-12/lbnl-2024-united-states-data-center-energy-usage-report_1.pdf"
target="_blank" rel="noopener">
<strong>Berkeley Lab — 2024 United States Data Center Energy Usage Report</strong>
<span>Supports the national-average estimates of just over 0.36 L/kWh of direct data-center water and 4.52 L/kWh of electricity-related water.</span>
</a>

<a class="source-link"
href="https://www.epa.gov/egrid"
target="_blank" rel="noopener">
<strong>EPA eGRID 2022 — Emissions &amp; Generation Resource Integrated Database</strong>
<span>Supports the ~0.386 kg CO₂e/kWh U.S. national average grid emissions factor used in the Conventional Infrastructure scenario.</span>
</a>

<a class="source-link"
href="https://www.ipcc.ch/report/ar6/wg3/"
target="_blank" rel="noopener">
<strong>IPCC Sixth Assessment Report (AR6), Working Group III</strong>
<span>⚠️ Used as a reference for illustrative low-carbon electricity CO₂e ranges (~0.007–0.048 kg CO₂e/kWh for wind and solar). The blended 0.02 kg CO₂e/kWh value used in Scenario 3 is an estimate requiring expert validation.</span>
</a>
</div>

<p class="source-note">
The calculator combines estimates from sources with different methods and system boundaries.
Summary and document-analysis values are classroom comparison estimates, not measured averages.
Infrastructure scenario values for Scenarios 2 and 3 are illustrative estimates; see ⚠️ notes above.
</p>
</section>

<!-- Infrastructure comparison section -->
<section class="card infra-section" aria-labelledby="infraTitle">
<h2 id="infraTitle">How infrastructure changes the picture</h2>
Expand Down Expand Up @@ -892,6 +867,61 @@ <h2 id="factorsTitle">What makes the difference?</h2>
Actual impact varies by model, response length, hardware, location, cooling system, and electricity source.
The rewrite, summary, and document-analysis presets use classroom comparison values anchored to the published typical text-query estimate.
</p>

<div class="actions">
<button class="action primary" id="copyButton" type="button">Copy result</button>
<button class="action secondary" id="printButton" type="button">Print</button>
</div>

<section class="card sources" aria-labelledby="sourcesTitle">
<details>
<summary id="sourcesTitle">Data sources</summary>
<p class="sources-intro">These studies provide the published reference values used in this calculator.</p>

<div class="source-list">
<a class="source-link"
href="https://www.microsoft.com/en-us/research/publication/energy-use-of-ai-inference-efficiency-pathways-and-test-time-scaling/"
target="_blank" rel="noopener">
<strong>Microsoft Research — Energy Use of AI Inference</strong>
<span>Supports the 0.31 Wh typical text-query estimate, its 0.16–0.60 Wh range, and the 3.91 Wh extended-reasoning scenario with a 2.15–7.05 Wh range.</span>
</a>

<a class="source-link"
href="https://arxiv.org/abs/2311.16863"
target="_blank" rel="noopener">
<strong>Luccioni, Jernite &amp; Strubell — Power Hungry Processing</strong>
<span>Supports the 2.907 Wh mean image-generation benchmark. The study found substantial variation among models.</span>
</a>

<a class="source-link"
href="https://eta-publications.lbl.gov/sites/default/files/2024-12/lbnl-2024-united-states-data-center-energy-usage-report_1.pdf"
target="_blank" rel="noopener">
<strong>Berkeley Lab — 2024 United States Data Center Energy Usage Report</strong>
<span>Supports the national-average estimates of just over 0.36 L/kWh of direct data-center water and 4.52 L/kWh of electricity-related water.</span>
</a>

<a class="source-link"
href="https://www.epa.gov/egrid"
target="_blank" rel="noopener">
<strong>EPA eGRID 2022 — Emissions &amp; Generation Resource Integrated Database</strong>
<span>Supports the ~0.386 kg CO₂e/kWh U.S. national average grid emissions factor used in the Conventional Infrastructure scenario.</span>
</a>

<a class="source-link"
href="https://www.ipcc.ch/report/ar6/wg3/"
target="_blank" rel="noopener">
<strong>IPCC Sixth Assessment Report (AR6), Working Group III</strong>
<span>⚠️ Used as a reference for illustrative low-carbon electricity CO₂e ranges (~0.007–0.048 kg CO₂e/kWh for wind and solar). The blended 0.02 kg CO₂e/kWh value used in Scenario 3 is an estimate requiring expert validation.</span>
</a>
</div>

<p class="source-note">
The calculator combines estimates from sources with different methods and system boundaries.
Summary and document-analysis values are classroom comparison estimates, not measured averages.
Infrastructure scenario values for Scenarios 2 and 3 are illustrative estimates; see ⚠️ notes above.
</p>
</details>
</section>
</main>

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