docs: reference carbontracker.info in climate-nudging research#21
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docs: reference carbontracker.info in climate-nudging research#21
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The CO2 research surveyed academic literature and per-query estimates but did not mention carbontracker — the most established open-source ML carbon-footprint tool, originally from UCPH. Add it where it is directly relevant: as a measurement-tools entry in co2-research.md (plus a sources citation), as a candidate measurement layer for the self-hosted API/proxy in integration.md, and as a one-line caveat on the index "What makes it hard" list noting that such tools exist for training but are not adopted by hosting providers for inference. Co-authored-by: Claude <noreply@anthropic.com>
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Summary
co2-research.mdcovering carbontracker (UCPH, 2020): what it does, hardware support (Intel CPUs, NVIDIA GPUs, Apple silicon), CLI + Python library, and the training-vs-inference caveat. New entry feat: add opkrævningsoverblik project #13 in the Sources list.integration.md(API/proxy layer) recommending carbontracker as the measurement layer for self-hosted inference, and noting it can't reach hosted models.index.md("What makes it hard") that open measurement tools exist for ML training but are not adopted by inference hosts.[Unreleased].Test plan
npm run docs:buildsucceeds locally (verified: 5.15s, no broken-link warnings)/projects/climate-nudging/co2-researchrenders the new subsection and the source list still numbers 1–13integration.mdparagraph links resolve (carbontracker.info, in-doc anchor to §5)index.mdbullet appears under "What makes it hard"Generated with Claude Code