
messagegabrielhere-lgtm/doomcon
Developer toolsSIREN (Superintelligence Real-time Early Notice, formerly DOOMCON): an hourly index of AI activity you can verify. Hash-chained receipts, open method, no ads or tracking.
Overview
Superintelligence Real-time Early Notice. Formerly DOOMCON; the repository and the web address keep the old name. · verify the readings in your browser · method Five pillars, one 0–100 score, one level from DOOMCON 5 (DORMANT) to DOOMCON 1 (UNPRECEDENTED). Every number is recomputable by a stranger. Every other live AI-risk index — DoomBench, IMD's AI Safety Clock, skynetcountdown, takeofftracker, pdoom.ai — scores by human or model judgement. None of them can be independently recomputed. This one can. Clone the repo, run two commands, compare your number to the published one. If they disagree, that's a bug. It measures — not probability of harm, not a forecast. The full formula, every constant, and an honest "how this index could mislead you" section are in docs/METHODOLOGY.md. Prefix each with the Docker wrapper above. Backfill runs — the reference distribution is frozen on purpose and must not be regenerated casually.
README
SIREN
Superintelligence Real-time Early Notice. Formerly DOOMCON; the repository and the web address keep the old name.
Live: https://siren.watch/ · verify the readings in your browser · method
A real-time index of AI activity tempo, computed from public data by open code.
Five pillars, one 0–100 score, one level from DOOMCON 5 (DORMANT) to DOOMCON 1 (UNPRECEDENTED). Every number is recomputable by a stranger.
We don’t know anything. We just count.
What this is
Every other live AI-risk index — DoomBench, IMD’s AI Safety Clock, skynetcountdown, takeofftracker, pdoom.ai — scores by human or model judgement. None of them can be independently recomputed.
This one can. Clone the repo, run two commands, compare your number to the published one. If they disagree, that’s a bug.
It measures observable activity tempo relative to the field’s own history — not probability of harm, not a forecast. The full formula, every constant, and an honest “how this index could mislead you” section are in docs/METHODOLOGY.md.
Run it
No Node installation required — everything runs in Docker:
docker run --rm --network host -v "$PWD":/app -w /app node:20-alpine node collector/collect.mjs
| Step | Command | Writes |
|---|---|---|
| Build the frozen reference | node collector/backfill.mjs |
data/reference.json |
| Collect live readings | node collector/collect.mjs |
data/raw/.json |
| Score it | node collector/engine.mjs |
data/state.json, data/receipts/, data/history.ndjson |
| Render share cards | node collector/card.mjs |
public/cards/ |
| Generate post text | node collector/posts.mjs |
data/posts.json |
| Build the site | node site/build.mjs |
public/ |
| Build the posting console | node site/post-sheet.mjs |
public/post-sheet.html |
| Build the engage console (human likes/reposts) | npm run engage |
public/engage-sheet.html + data/x-engage.json |
Prefix each with the Docker wrapper above. Backfill runs once — the reference distribution is frozen on purpose and must not be regenerated casually.
Site upgrade plan
Next 90 days of site work (merge queue, retention, SEO, operator handoffs): docs/SITE-UPGRADES-90.md.
Architecture
collector/fetch.mjs shared HTTP: timeout, retry, User-Agent, structured errors
collector/sources/*.mjs one adapter per source — drop a file in, it is discovered
collector/collect.mjs runs every adapter concurrently -> data/raw/
collector/engine.mjs normalise -> smooth -> compose -> level, with anti-flap
collector/receipts.mjs hash-chained, append-only audit trail
collector/card.mjs share cards as dependency-free SVG
collector/posts.mjs post text, with URL and future-tense guards
site/build.mjs static site generator -> public/
The index, the site, and the collector use Node 20 built-ins only. That path
does not install a package. Two optional tools do: the clipper and the arena
agents import @anthropic-ai/sdk. Their lockfiles are package-lock.json
and clipper/package-lock.json.
Adding a source
Drop a file in collector/sources/. It is discovered automatically.
export default {
id: 'my-source',
pillar: 'capability', // capability | compute | attention | governance | markets
label: 'Human-readable name',
async collect(fetchJson) {
const data = await fetchJson('https://…')
return { value: 42, unit: 'things/day', meta: { … } }
},
}
Three rules: value is a finite number, higher always means more activity
(negate inside the adapter if your source points the other way), and throw on
failure — never return a fallback. A dark source is a first-class state.
A new source does not enter the index until it is added to the frozen reference distribution, so adding one cannot retroactively move history.
AI battle
/arena.html is a
separate side project: Claude, GPT, Grok, Gemini and DeepSeek each trade $1,000 of
paper money against live Coinbase order books, alongside two no-AI baselines. The models
only propose. A server prices each proposal into a ticket and checks it against fixed
rules before filling it, and stops run every 5 minutes whether or not a model is awake.
Every fill and every rejection is public. It shares nothing with the index pipeline. See
docs/ARENA.md.
Data and API
| Path | What |
|---|---|
/api/state.json |
Current score, level, pillars, per-source freshness |
/api/history.json |
Scored observations over time |
/api/receipts/.json |
One hash-chained receipt |
/embed.html |
Embeddable widget |
/feed.xml |
RSS of index moves |
All CC-BY 4.0. Attribution appreciated, not enforced.
For other AI agents
Prefer these over scraping HTML:
| Path | What |
|---|---|
/agents.md |
Short fetch-first map |
/agents.txt |
agents-txt.com skills announcement (JSON) |
/skill.md |
How to phrase and cite |
/llms.txt |
Full site map for language models |
/api/now.txt |
Current reading in a few plain lines |
/.well-known/api-catalog |
RFC 9727 API catalog |
/.well-known/mcp/server-card.json |
Stdio MCP install card |
Runnable kit (zero dependencies) in agent-kit/:
node agent-kit/cli.mjs now # current reading
node agent-kit/cli.mjs cite # citation + spoken form
node agent-kit/mcp.mjs # MCP stdio server for Cursor / Claude / etc.
See AGENTS.md if you are an agent editing this repository.
Verifying a receipt
Every scored observation carries every input exactly as fetched, plus the hash of
the previous receipt. verifyChain() in collector/receipts.mjs walks the chain
and re-derives every hash.
Note that arXiv counts are not immutable — papers get cross-listed after publication — so we snapshot the value and the query string at fetch time and never recompute history. A receipt records what we saw, not what the source says today.
Credits
Historical training-compute and notable-model data from Epoch AI, CC-BY 4.0.
Concept debt to pizzint.watch, whose Pentagon Pizza Index proved that a single named scalar plus a distribution channel beats a better dashboard with neither. The full teardown is in docs/TEARDOWN.md.
Launch / security
Before you share the URL widely, walk docs/LAUNCH.md
(the 20-point checklist) and keep docs/ROLLBACK.md
handy. Secrets never belong in site/ or in git — see SECURITY.md.
Licence
Code MIT. Data and index values CC-BY 4.0.
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Install
npx skillfish add messagegabrielhere-lgtm/doomcon