ML

messagegabrielhere-lgtm/doomcon

Developer tools

이 페이지는 AI로 자동 번역되었습니다. 기술적인 세부 사항은 원문을 확인하세요. 원문 보기

0 stars 품질 58 트렌드 20NOASSERTION

SIREN (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.

개요

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

원문 README의 일부입니다. 원문 보기.

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

New here? Start with the novice map: docs/README.md — what every folder does, side projects vs the index, and which workflow to look at.

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
GitHub에서 전체 README 보기

추천 도구

다른 키워드를 입력하거나 필터를 제거해 보세요.

설치

npx skillfish add messagegabrielhere-lgtm/doomcon
MCP 초보자라면? mcpskill.org 가이드부터 시작하세요 →