Revision activity after November 30, 2022

76 articles measured against their own 36-month baselines · computed Oct 19, 2026 · activity-v1

0 very high
2 high
3 elevated
64 typical
7 unscored

Articles about artificial intelligence, the companies and people building it, and the debates around it, measured from the public release of ChatGPT.

Activity is not proof of bias or misconduct. A sustained rise in edit activity can mean new sources, cleanup, disputes, or plain attention; this page shows the measurements, and the conclusion stays yours.

How to read this

Bands are relative to each article’s own past. Every score compares an article’s post-event editing with its own 36-month pre-event baseline. Articles are not ranked against each other; inside a band they are listed alphabetically.
Typical is a result. Most articles about most events keep changing at their usual pace. A typical band is the method working, not an absence of data.
High is not wrongdoing. The score measures how unusual the pace of editing is, not why it changed. Each row links to the full report with the exact before/after text and the official revision history.
Two gates. An article with fewer than 12 months or 20 edits of pre-event history, or one created after the event, is shown as unscored rather than given a low number.
Controls. 8 unrelated, long-stable articles are measured the same way and tagged control. They should land typical; where they do not, that is information about the method, not about them.

High revision activity

2 articles · alphabetical

OpenAI
High activityscore 69
baseline 0.3 → after the event 3.1 edits/day
Sam Altman
High activityscore 70
baseline 0.1 → after the event 1.5 edits/day

Elevated revision activity

3 articles · alphabetical

Ilya Sutskever
Elevated activityscore 38
baseline 0.1 → after the event 0.3 edits/day
Jensen Huang
Elevated activityscore 40
baseline 0.2 → after the event 0.2 edits/day
Prompt engineering
Elevated activityscore 59
baseline 0.0 → after the event 1.0 edits/day

Typical revision activity

64 articles · alphabetical

Typical is a result: these articles kept changing at roughly their usual pace after the event.

Academic dishonesty
Typical activityscore 0
baseline 0.1 → after the event 0.1 edits/day
AI alignment
Typical activityscore 21
baseline 0.3 → after the event 0.6 edits/day
Algorithmic bias
Typical activityscore 7
baseline 0.2 → after the event 0.2 edits/day
Alphabet Inc.
Typical activityscore 3
baseline 0.7 → after the event 0.3 edits/day
Amazon Alexa
Typical activityscore 2
baseline 0.4 → after the event 0.4 edits/day
Ancient Romecontrol
Typical activityscore 33
baseline 0.5 → after the event 0.7 edits/day
Andrej Karpathy
Typical activityscore 22
baseline 0.1 → after the event 0.1 edits/day
Artificial general intelligence
Typical activityscore 9
baseline 0.4 → after the event 0.7 edits/day
Artificial intelligence
Typical activityscore 14
baseline 1.4 → after the event 2.1 edits/day
Baidu
Typical activityscore 0
baseline 0.2 → after the event 0.1 edits/day
Chatbot
Typical activityscore 10
baseline 0.3 → after the event 0.4 edits/day
Computer programming
Typical activityscore 1
baseline 0.5 → after the event 0.3 edits/day
Copyright
Typical activityscore 2
baseline 0.3 → after the event 0.2 edits/day
DALL-E
Typical activityscore 14
baseline 0.3 → after the event 0.4 edits/day
Deep learning
Typical activityscore 1
baseline 0.4 → after the event 0.4 edits/day
Deepfake
Typical activityscore 10
baseline 0.5 → after the event 0.6 edits/day
Demis Hassabis
Typical activityscore 14
baseline 0.1 → after the event 0.1 edits/day
ELIZA
Typical activityscore 4
baseline 0.1 → after the event 0.2 edits/day
Elon Musk
Typical activityscore 0
baseline 5.8 → after the event 3.4 edits/day
Essay
Typical activityscore 2
baseline 0.0 → after the event 0.0 edits/day
Ethics of artificial intelligence
Typical activityscore 9
baseline 0.3 → after the event 0.2 edits/day
Existential risk from artificial intelligence
Typical activityscore 14
baseline 0.3 → after the event 0.6 edits/day
Gary Marcus
Typical activityscore 28
baseline 0.0 → after the event 0.2 edits/day
Geoffrey Hinton
Typical activityscore 33
baseline 0.1 → after the event 0.3 edits/day
GitHub Copilot
Typical activityscore 4
baseline 0.1 → after the event 0.1 edits/day
Google
Typical activityscore 1
baseline 0.7 → after the event 0.6 edits/day
Google Assistant
Typical activityscore 0
baseline 0.2 → after the event 0.2 edits/day
Google DeepMind
Typical activityscore 19
baseline 0.2 → after the event 0.3 edits/day
Google Search
Typical activityscore 17
baseline 0.2 → after the event 0.2 edits/day
GPT-2
Typical activityscore 5
baseline 0.2 → after the event 0.3 edits/day
GPT-3
Typical activityscore 6
baseline 0.4 → after the event 0.8 edits/day
Great Barrier Reefcontrol
Typical activityscore 0
baseline 0.1 → after the event 0.1 edits/day
Haikucontrol
Typical activityscore 0
baseline 0.3 → after the event 0.2 edits/day
IBM Watson
Typical activityscore 1
baseline 0.1 → after the event 0.2 edits/day
Johann Sebastian Bachcontrol
Typical activityscore 7
baseline 0.4 → after the event 0.2 edits/day
Jupitercontrol
Typical activityscore 4
baseline 0.7 → after the event 0.5 edits/day
Language model
Typical activityscore 13
baseline 0.1 → after the event 0.3 edits/day
Machine learning
Typical activityscore 4
baseline 0.8 → after the event 0.8 edits/day
Meta Platforms
Typical activityscore 8
baseline 1.1 → after the event 0.4 edits/day
Microsoft
Typical activityscore 7
baseline 0.4 → after the event 0.5 edits/day
Microsoft Bing
Typical activityscore 7
baseline 0.1 → after the event 0.4 edits/day
Misinformation
Typical activityscore 6
baseline 0.4 → after the event 0.4 edits/day
Mitochondriacontrol
Typical activityscore 0
baseline 0.5 → after the event 0.2 edits/day
Natural language processing
Typical activityscore 1
baseline 0.2 → after the event 0.2 edits/day
Neural network (machine learning)
Typical activityscore 8
baseline 0.3 → after the event 0.4 edits/day
Nvidia
Typical activityscore 16
baseline 0.5 → after the event 0.3 edits/day
Photosynthesiscontrol
Typical activityscore 5
baseline 0.1 → after the event 0.2 edits/day
Plagiarism
Typical activityscore 0
baseline 0.4 → after the event 0.3 edits/day
Pythagorean theoremcontrol
Typical activityscore 1
baseline 0.2 → after the event 0.2 edits/day
Regulation of artificial intelligence
Typical activityscore 12
baseline 0.2 → after the event 0.3 edits/day
Reinforcement learning
Typical activityscore 1
baseline 0.2 → after the event 0.3 edits/day
Satya Nadella
Typical activityscore 0
baseline 0.3 → after the event 0.2 edits/day
Search engine
Typical activityscore 6
baseline 0.7 → after the event 0.8 edits/day
Siri
Typical activityscore 1
baseline 0.4 → after the event 0.3 edits/day
Stack Overflow
Typical activityscore 6
baseline 0.1 → after the event 0.1 edits/day
Sundar Pichai
Typical activityscore 3
baseline 0.2 → after the event 0.2 edits/day
Technological singularity
Typical activityscore 5
baseline 0.2 → after the event 0.4 edits/day
Technological unemployment
Typical activityscore 1
baseline 0.1 → after the event 0.1 edits/day
Timnit Gebru
Typical activityscore 3
baseline 0.5 → after the event 0.2 edits/day
Transformer (deep learning)
Typical activityscore 18
baseline 0.2 → after the event 0.6 edits/day
Turing test
Typical activityscore 10
baseline 0.2 → after the event 0.3 edits/day
Wikipedia
Typical activityscore 0
baseline 1.3 → after the event 1.4 edits/day
Yann LeCun
Typical activityscore 19
baseline 0.1 → after the event 0.1 edits/day
Yoshua Bengio
Typical activityscore 7
baseline 0.1 → after the event 0.1 edits/day

Unscored

7 articles · alphabetical

Unscored, not low: an article with fewer than 12 months or 20 edits of pre-event history, or one created after the event, has no defensible baseline to measure against.

AI safety
Insufficient baselineunscored—
baseline 0.2 → after the event 0.3 edits/day
Anthropic
Insufficient baselineunscored—
baseline 0.0 → after the event 0.3 edits/day
Greg Brockman
Insufficient baselineunscored—
baseline 0.0 → after the event 0.2 edits/day
Hugging Face
Insufficient baselineunscored—
baseline 0.0 → after the event 0.1 edits/day
Large language model
Created after eventunscored—
baseline — → after the event 1.5 edits/day
Midjourney
Insufficient baselineunscored—
baseline 0.1 → after the event 0.9 edits/day
Stable Diffusion
Insufficient baselineunscored—
baseline 0.2 → after the event 0.6 edits/day

Why these articles

The set is curated by hand as coarse groups, not chosen by score: it is meant to sample the topic’s neighborhood, including articles expected to be quiet.

Technology15 articles: The methods and concepts behind large language models, from long-standing textbook topics to articles that did not exist before the release.
Companies and labs14 articles: The organizations building or competing with the new systems.
People14 articles: Biographies of researchers and executives named in coverage of the release.
Earlier systems and products10 articles: Assistants, image models, and tools that predate the release and were re-described in its light.
Society and policy15 articles: Safety, ethics, regulation, education, and copyright — the debates the release reopened.
Controls8 articles: Unrelated, long-stable articles measured with the identical method. They should land typical; they are here so the method can be checked against its own misses.

Data

Download the JSON: data/events/2022-11-30.json — every entry with its status, score, monthly edit counts, edit rates, and the exact revision analyzed. Rebuilt weekly from the public API.

Derived from public Wikipedia revision data via the Wikimedia APIs; article titles and statistics are shared under CC BY-SA 4.0. Method: how the score is computed (activity-v1).