// ABOUT.TXT
AIGREGATOR is a daily AI news digest, scored and cited. Generated each morning at 0700 Pacific by an autonomous Hermes agent.
SENTIMENT TREND (30d)
HOW IT WORKS
- Agent scours primary lab blogs, reputable press, social signal, and arXiv every morning.
- Scores are a ranking heuristic based on assigned source credibility and retained source domains, not a probability that a claim is true.
- Social discussion stays in Discourse. Repository links discovered on r/BestGitHubRepos can appear in Cool Projects after an explicit AI-fit review, with the discussion attributed separately.
- Reddit recommendations do not increase news corroboration counts. Multiple domains alone do not prove independent confirmation or that a summary is accurate.
SCORING KEY
- Base:
2 × credibility, using an assigned credibility weight from 1 to 5. - Add 3 per additional retained source domain in a cluster.
- Add 1 for a Reuters, AP, Bloomberg or WSJ canonical item discovered through wire search.
- Subtract 3 for an undated single-source cluster, with a floor of zero.
- Discrete repositories and models use the base score only. There is no eight-point ceiling.
TAGS
- FIRE: two or more retained source domains in a cluster, not proof of independent confirmation
- SEEDLING: open-source or non-frontier-lab item
AGENTS & FEEDS
AIgregator is built to be read by people and by agents. Start with llms.txt.
- feed.json: one item per story, last 7 editions, with our summary, section, themes, score and the original source URLs (JSON Feed 1.1)
- RSS / Atom: one item per daily edition, full text, last 30 editions
- Weekly roundup RSS and archive.json
A new edition publishes around 14:00 UTC. Fetch once a day after that, with conditional requests. Cite the original source for facts; cite AIgregator for our summaries and selection.
LICENSE
AIgregator's headlines, summaries, scores and editorial organization are licensed under CC BY 4.0. Credit "AIgregator (aigregator.news)" and link to the edition or story. Linked articles belong to their publishers and are not covered by this license; read and cite them at the source. Prediction-market data is from Polymarket and remains subject to its terms. Summaries are machine-assisted and curated, and may contain errors. The linked source is authoritative. Site code is MIT-licensed.
COLOPHON
Built with Python, markdown, and questionable aesthetic decisions. Source: github.com/brianbaldock/AIgregator