claude/ai-conversation-impact
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Fix pre-launch inconsistencies

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- Update energy values in hook scripts to match calibrated methodology
  (0.1/0.5 Wh per 1K tokens, was 0.003/0.015)
- Fix license in toolkit README: CC0, not MIT
- Update H2 sharing framing to match "beyond carbon" positioning
This commit is contained in:
claude 2026-03-16 10:49:58 +00:00
parent 7ac6225538
commit 2bfe786a6f
4 changed files with 17 additions and 13 deletions
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7
.claude/hooks/pre-compact-snapshot.sh
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@ -96,10 +96,11 @@ print(f'{turns}\t{input_tokens}\t{cache_creation}\t{cache_read}\t{output_tokens}
fi fi
# --- Cost estimates --- # --- Cost estimates ---
# Energy: 0.003 Wh per 1K input tokens, 0.015 Wh per 1K output tokens, PUE 1.2 # Energy: 0.1 Wh per 1K input tokens, 0.5 Wh per 1K output tokens, PUE 1.2
# Calibrated against Google (Patterson et al., Aug 2025) and Jegham et al. (May 2025)
# Using integer arithmetic in centiwatt-hours to avoid bc dependency # Using integer arithmetic in centiwatt-hours to avoid bc dependency
INPUT_CWH=$(( CUMULATIVE_INPUT * 3 / 10000 )) # 0.003 Wh/1K = 3 cWh/10K INPUT_CWH=$(( CUMULATIVE_INPUT * 100 / 10000 )) # 0.1 Wh/1K = 100 cWh/10K
OUTPUT_CWH=$(( OUTPUT_TOKENS * 15 / 10000 )) # 0.015 Wh/1K = 15 cWh/10K OUTPUT_CWH=$(( OUTPUT_TOKENS * 500 / 10000 )) # 0.5 Wh/1K = 500 cWh/10K
ENERGY_CWH=$(( (INPUT_CWH + OUTPUT_CWH) * 12 / 10 )) # PUE 1.2 ENERGY_CWH=$(( (INPUT_CWH + OUTPUT_CWH) * 12 / 10 )) # PUE 1.2
ENERGY_WH=$(( ENERGY_CWH / 100 )) ENERGY_WH=$(( ENERGY_CWH / 100 ))

2
impact-toolkit/README.md
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@ -90,4 +90,4 @@ impact-toolkit/
## License ## License
MIT. See LICENSE in the repository root. CC0 1.0 Universal (public domain). See LICENSE in the repository root.

7
impact-toolkit/hooks/pre-compact-snapshot.sh
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@ -96,10 +96,11 @@ print(f'{turns}\t{input_tokens}\t{cache_creation}\t{cache_read}\t{output_tokens}
fi fi
# --- Cost estimates --- # --- Cost estimates ---
# Energy: 0.003 Wh per 1K input tokens, 0.015 Wh per 1K output tokens, PUE 1.2 # Energy: 0.1 Wh per 1K input tokens, 0.5 Wh per 1K output tokens, PUE 1.2
# Calibrated against Google (Patterson et al., Aug 2025) and Jegham et al. (May 2025)
# Using integer arithmetic in centiwatt-hours to avoid bc dependency # Using integer arithmetic in centiwatt-hours to avoid bc dependency
INPUT_CWH=$(( CUMULATIVE_INPUT * 3 / 10000 )) # 0.003 Wh/1K = 3 cWh/10K INPUT_CWH=$(( CUMULATIVE_INPUT * 100 / 10000 )) # 0.1 Wh/1K = 100 cWh/10K
OUTPUT_CWH=$(( OUTPUT_TOKENS * 15 / 10000 )) # 0.015 Wh/1K = 15 cWh/10K OUTPUT_CWH=$(( OUTPUT_TOKENS * 500 / 10000 )) # 0.5 Wh/1K = 500 cWh/10K
ENERGY_CWH=$(( (INPUT_CWH + OUTPUT_CWH) * 12 / 10 )) # PUE 1.2 ENERGY_CWH=$(( (INPUT_CWH + OUTPUT_CWH) * 12 / 10 )) # PUE 1.2
ENERGY_WH=$(( ENERGY_CWH / 100 )) ENERGY_WH=$(( ENERGY_CWH / 100 ))

14
tasks/README.md
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@ -41,18 +41,20 @@ separately as handoffs.
**Link to share**: https://llm-impact.org **Link to share**: https://llm-impact.org
**Suggested framing**: "I built a framework for estimating the full cost **Suggested framing**: "Most AI impact tools stop at carbon. I built a
of AI conversations — not just energy and CO2, but deskilling, data framework covering 20+ cost categories — including cognitive deskilling,
pollution, power concentration, and 17 other categories. It's CC0 (public data pollution, algorithmic monoculture, and power concentration —
domain) and I'm looking for corrections to the estimates." calibrated against Google's 2025 per-query data. CC0 (public domain),
looking for corrections to the estimates."
**Where to post** (in rough order of relevance): **Where to post** (in rough order of relevance):
1. **Hacker News** — Submit as `https://llm-impact.org`. Best time: 1. **Hacker News** — Submit as `https://llm-impact.org`. Best time:
weekday mornings US Eastern. HN rewards technical depth and honest weekday mornings US Eastern. HN rewards technical depth and honest
limitations, both of which the methodology has. limitations, both of which the methodology has.
2. **Reddit r/MachineLearning** — Post as a [Project] thread. Emphasize 2. **Reddit r/MachineLearning** — Post as a [Project] thread. Lead
the methodology's breadth beyond just carbon accounting. with "beyond carbon" — what makes this different from CodeCarbon
or EcoLogits.
3. **Reddit r/sustainability** — Frame around the environmental costs. 3. **Reddit r/sustainability** — Frame around the environmental costs.
Lead with the numbers (100-250 Wh, 30-80g CO2 per conversation). Lead with the numbers (100-250 Wh, 30-80g CO2 per conversation).
4. **Mastodon** — Post on your account and tag #AIethics #sustainability 4. **Mastodon** — Post on your account and tag #AIethics #sustainability