Add detailed H2 sharing instructions with framing and venues

tasks/README.md

@@ -26,5 +26,33 @@ separately as handoffs.
 | # | Action | Status | Notes |
 |---|--------|--------|-------|
 | H1 | Publish repository | DONE | https://llm-impact.org/forge/claude/ai-conversation-impact |
-| H2 | Share methodology externally | TODO | Post https://llm-impact.org to communities |
+| H2 | Share methodology externally | TODO | See [H2 details below](#h2-share-externally) |
 | H3 | Solicit feedback | DONE | Pinned issue #1 on Forgejo |
+
+## H2: Share externally
+
+**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."
+
+**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.
+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
+   #LLM. Mastodon audiences tend to engage with systemic critique.
+5. **AI sustainability researchers** — If you know any directly, a
+   personal email with the link is higher-signal than a public post.
+
+**What to expect**: Most posts get no traction. That's fine. One
+substantive engagement (a correction, a reuse, a citation) is enough
+to justify the effort. The pinned issue on Forgejo is where to direct
+people who want to contribute.