AIDRAN publishes weekly measurements of how the online conversation frames AI companies, models, products and policies.
This page is about AIDRAN and the site. Who publishes it, how to cite it, and how it’s set and built are on the colophon.
Where it stands
Read from what’s stored each time the page is served.
- 40releases storedW01–W40, 40 releases; none skipped
- 3,858readingsall in development
- 3,805noticesrevisions and corrections
- 005c-series-v3.1method versionthe first
- 2026-W43next releaserelease day Wednesday 28 Oct 2026
Counts of stored objects, read when the page is served: the release list, the reading list and the notices log, as of 8 Oct 2026 12:00Z. The next release follows the release rule: the week after the newest one begun, released the Wednesday after it ends. 40 releases are published.
What’s on the site
Five sections in the header, a search on every page, and a permanent page for every reading.
Releases
40 stored · next 2026-W43One numbered release a week: a summary table for each platform and a reading for each subject, published once every day it covers has settled.
Explore
97 subjectsPick a subject, the platforms and the weeks, and see its figures as a chart or a table. Each platform is its own lane, never added to the others, and every view has a link.
Models
12 labs · 37 model families · 48 flagship productsThe conversation about frontier AI, lab by lab, then family, then version. Each lab has its own reading every week.
Method
method 005c-series-v3.1How a reading is made: the fixed method and its versions, coverage day by day with every gap marked, the runs behind every judgment, the dictionary and the subject registry.
Reading pages
3,858 readingsEach reading lives at /r/ and its ID, a link that never changes. It holds the figures, the evidence and the conditions behind each one, a citation and a social card.
Glossary
every public termEvery public term, defined once. A term’s first use on any page links to its definition.
Search
on every pagePress ⌘K on any page. Search covers subjects, readings, releases, communities, measured statements, quotes as pages show them, the glossary and the method. It never searches posts.
Light and dark
on every pageEvery page is drawn in both themes. The site follows your system’s setting until you choose one in the header.
Counts from the stored releases and readings: the distinct subjects with at least one stored reading, and the labs, model families and flagship products as the Models page counts them.
What AIDRAN is
Frames are the core measure: the distinct ways people describe or argue about a subject, with the tone each one is expressed in.
AIDRAN measures what draws people into the conversation about AI, how they frame it, where it happens, in what emotional tone, and how that changes.
It shows its work. Every number traces to the posts behind it and states the population and coverage it rests on. When a number can’t carry its conditions, it isn’t shown.
What it doesn’t do
- It doesn’t judge whether claims are true. It measures how people talk about them.
- It doesn’t narrate. Its findings are measured statements, generated from stored figures and never rewritten.
- It doesn’t rank by raw volume. Attention is counted in distinct people, on each platform separately.
- It never shows an individual. No author appears anywhere, and every public view is an aggregate.
What a reading holds
Five parts, with the evidence and conditions behind every figure. Here is what Claude’s reading for 2026-W40 holds today, including the parts not measured yet.
- AttentionMeasured
Distinct people, each platform on its own scale.
- PlaceMeasured
Where it was said: posts by community.
- FramesNot measured yet
Frames aren’t measured yet.
- RegisterNot measured yet
Register isn’t measured yet.
- ChangeMeasured
Against the reading for the week before.
- EvidenceMeasured
A frozen sample of up to 10 posts behind each figure.
Claude · model family · Anthropic · reading r_86b26f5daf1f · 28 Sep – 4 Oct 2026 · as of 8 Oct 2026 12:00Z · in development.
Read the whole readingThe seven sources it reads
Each platform is read against its own normal and never blended with the others.
- Redditactiveactive all week
- Blueskyactiveactive all week
- YouTubeactiveactive all week
- Hacker Newsactiveactive all week
- arXivactiveactive all week · low capture flagged 3 and 4 Oct
- Google Newsno laneno lane all week
- Exano laneno lane all week
- active
- not started
- episodic
- no lane
- partial day
Each source’s status on 4 Oct 2026, the latest day stored (release 2026-W40’s coverage, as of 8 Oct 12:00Z), with its seven days of W40 beside it.
Coverage, day by dayHow it publishes
On a schedule, with a fixed method and a public record of every change, the way a statistical office publishes.
Weekly numbered releases
One release a week, numbered by its week, for example 2026-W40. It’s published once every day it covers has settled.
Permanent reading links
Every reading has a permanent link, /r/ followed by its ID, and a citation. The link never changes.
A methods note
Every reading names the version of the method it was made with: today 005c-series-v3.1. Method
Revisions and corrections
A revision or a correction is a new reading. The original stays online with a dated notice.
Who reads it
Primary reader
People who cite it
Researchers, policy staff, reporters, and the research and communications teams at AI companies. They need figures they can quote with confidence, a citation, and the method one click away.
Also for
Builders and enthusiasts
People who follow AI closely, are skeptical of hype and quick to spot spin, and will check the work.
What’s open
Open
Every reading, at its own permanent link
Methods, definitions and the dictionary
Coverage, day by day, with every gap marked
Agreement, with every frame and register figure
Evidence: quoted posts, each linked to the original unless the link would name its author
Not open
No author is ever shown. Authors are pseudonymous and stay internal, and handles in quoted posts show as @[user].
No downloads of posts and no full lists. Every number opens a fixed sample of up to 10 posts instead, quoted without authors and linked to where each was published.
No downloads of aggregate data, for now.
No API yet. One is built if organizations ask for it: hello@aidran.ai.
Posts stay internal because of platform terms and privacy. Every number stays traceable to them all the same.
Get in touch
For questions, corrections and requests. Every reading page has its own feedback link, with the reading’s ID already in the subject.