







Before the number, the word. One idea runs underneath this whole result, and it is worth having before you see a score for it. Authorship is not how much you use the machine. It is who sets the terms. Whether you are the one shaping it, or it is quietly shaping you. A heavy user and a total refuser can both score high, as long as the terms are theirs. That is the thing the quiz was really measuring the whole time.
Who earned the score? - Sensemaker
This week's AI claims blurred models, systems, simulations and people. The evidence becomes clearer when the tested subject comes first.
How to reduce AI slop
Who created this data? And how did they want the data to be used? This plan outlines a technological and societal path to more effectively managing authorship.
There is no trick to mastering AI. There is only mastering yourself.
An unforgiving, fifteen-minute audit of your sovereignty in the age of AI. 129 statements. Eight dimensions. Sixteen positions. Which one are you?
No. 011: Sum-product conjecture disproof, AI-generated authorship fraud, OMB grant-cost rules - The Hallway Track
The Hallway Track No. 011 - How AI is affecting the practice of science

The People Who Will Thrive in the AI Age
What will differentiate people is not how smart they are but their relationship to mental effort.
StoryScope: Investigating idiosyncrasies in AI fiction
As AI-generated fiction becomes increasingly prevalent, questions of authorship and originality are becoming central to how written work is evaluated. While most existing work in this space...

The Impact of Artificial Intelligence on Human Thought
This research paper examines, from a multidimensional perspective (cognitive, social, ethical, and philosophical), how AI is transforming human thought. It highlights a cognitive offloading effect: the externalization of mental functions to AI can reduce intellectual engagement and weaken critical thinking. On the social level, algorithmic personalization creates filter bubbles that limit the diversity of opinions and can lead to the homogenization of thought and polarization. This research also describes the mechanisms of algorithmic manipulation (exploitation of cognitive biases, automated disinformation, etc.) that amplify AI's power of influence. Finally, the question of potential artificial consciousness is discussed, along with its ethical implications. The report as a whole underscores the risks that AI poses to human intellectual autonomy and creativity, while proposing avenues (education, transparency, governance) to align AI development with the interests of humanity.

Wherein I Find Myself Writing About Writing
Most everyone finds writing to be challenging (especially those who say they enjoy it). This is because writing is an intentional, thoughtful act. This is as it should be, but “AI” has recently exacerbated the misbelief that writing is simply an output. In fact, it's a creative process that has merit in and of itself.

233. "The Illusion of Thinking" — Thoughts on This Important Paper
This is a fantastic paper. I just love it. tl;dr AI is not human. Anthropomorphization has been bad for AI, LLMs, and Chat. Clippy walked so today's AI could run.

Automatic Against the People: Reading, Writing, and AI

How to write well with AI
Why people who pledge never to write with AI are telling on themselves

How do authors want to use AI for review?
A survey of researchers who compared AI-generated scientific reviews with journal-agnostic human peer review reveals that they overwhelmingly prefer using AI as a self-checking tool before submission rather than as a replacement for human reviewers. It encourages an “author-centric” model in which AI helps researchers improve their manuscripts before they are reviewed by their peers.

AI and the crisis of the author
Editor’s note (September 21, 2026): We have removed this essay. AI was used in its preparation. The TLS editorial guidelines prohibit the use of AI in the
Literature fans should welcome AI as a fellow wordsmith | Aeon Essays
Strong resistance to AI among writers is understandable. But it obscures what we share with the machines: language itself
