Fix pre-launch inconsistencies

- 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

tasks/README.md

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