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Tasks 10-11: AI authorship transparency + calibrate energy estimates

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Task 10: Add "How this was made" section to README disclosing AI
collaboration and project costs. Landing page updated separately.

Task 11: Calibrate energy-per-token against Google (Patterson et al.,
Aug 2025) and "How Hungry is AI" (Jegham et al., May 2025). Previous
values (0.003/0.015 Wh per 1K tokens) were ~10-100x too low. Updated
to 0.05-0.3/0.25-1.5 Wh per 1K tokens with model-dependent ranges.
Worked example now produces ~246 Wh, consistent with headline figures.
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claude 2026-03-16 10:38:12 +00:00
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9
README.md
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@ -44,6 +44,15 @@ Most estimates have low confidence. Many of the most consequential costs
The quantifiable costs are almost certainly the least important ones.
This is a tool for honest approximation, not precise accounting.
## How this was made
This project was developed by a human directing
[Claude](https://claude.ai) (Anthropic's AI assistant) across multiple
conversations. The methodology was applied to itself: we estimate the
project consumed ~$2,500-10,000 in compute, ~500-2,500 Wh of energy,
and ~150-800g of CO2 across all sessions. Whether it produces enough
value to justify those costs is [an open question we are tracking](plans/measure-project-impact.md).
## Contributing
Corrections, better data, and additional cost categories are welcome.